repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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|---|---|---|---|---|---|---|
DelayResolvedRL | DelayResolvedRL-main/W-Maze/Tabular-Q/dr_train.py | import numpy as np
import matplotlib.pyplot as plt
import datetime
# from tqdm import tqdm
from pathlib import Path
from env import Environment
from dr_agent import Agent
'''Augmented State Implementation of Tabular-Q'''
algorithms = ['SARSA', 'Q']
for algorithm in algorithms:
delays = [0, 1, 2, 3, 4, 5, 6, 7, 8, ... | 3,912 | 53.347222 | 128 | py |
DelayResolvedRL | DelayResolvedRL-main/W-Maze/Tabular-Q/agent.py | import numpy as np
from collections import deque
'''Q-learning agent for the baselines'''
class Agent:
def __init__(self, state_space, num_actions, delay):
self.epsilon = 1.0
self.num_actions = num_actions
self.delay = delay
self.actions_in_buffer = deque(maxlen=self.delay)
... | 1,625 | 35.954545 | 105 | py |
DelayResolvedRL | DelayResolvedRL-main/W-Maze/Tabular-Q/plot.py | import matplotlib.pyplot as plt
import numpy as np
import os
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
matplotlib.rcParams.update({'font.size': 13})
"""Plotting"""
algorithms = ['Q']
# delays = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
delays = [2, 4, 6, 8, 10]
runs... | 2,721 | 34.815789 | 133 | py |
DelayResolvedRL | DelayResolvedRL-main/W-Maze/Tabular-Q/train.py | import numpy as np
import matplotlib.pyplot as plt
import datetime
# from tqdm import tqdm
from pathlib import Path
from env import Environment
from agent import Agent
'''Training baseline algorithms'''
algorithms = ['SARSA', 'Q', 'dSARSA', 'dQ'] # dSARSA and dQ are from https://ieeexplore.ieee.org/document/5650345
f... | 4,409 | 52.13253 | 137 | py |
DelayResolvedRL | DelayResolvedRL-main/W-Maze/Tabular-Q/env.py | import numpy as np
from collections import deque
class Environment:
"""Initialize Environment"""
def __init__(self, seed, delay):
np.random.seed(seed)
self.breadth = 7
self.length = 11
self.state_space = np.empty([self.breadth, self.length], dtype='<U1')
'''Environment ... | 4,070 | 42.774194 | 115 | py |
DelayResolvedRL | DelayResolvedRL-main/Gym(Constant)/init_main.py | import gym
from delayed_env import DelayedEnv
import wandb
"""Code adapted from https://openreview.net/forum?id=j1RMMKeP2gR"""
'''HyperParameters'''
# MountainCar-v0
# Number of Runs:10 \\
# Number of Frames: 1 Million \\
# Batch Size: 32 \\
# $\gamma$: 0.99 \\
# Learning Rate: 1e-3 \\
# Learning Rate: 1e-3 \\
# $\eps... | 3,328 | 28.990991 | 183 | py |
DelayResolvedRL | DelayResolvedRL-main/Gym(Constant)/dqn_agents.py | from collections import deque
from keras.models import Sequential
from keras.layers import Dense, Conv2D, MaxPool2D, Flatten
from copy import deepcopy
import random
from keras.optimizers import Adam
from keras import backend as K
import tensorflow as tf
import numpy as np
def reshape_state(state, is_atari_env, state_s... | 13,916 | 46.498294 | 142 | py |
DelayResolvedRL | DelayResolvedRL-main/Gym(Constant)/plot_time.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import math
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
matplotlib.rcParams.update({'font.size': 13})
# results = pd.read_csv('results_cartpole.csv')
results = pd.read_csv('results_acrobot.cs... | 1,323 | 31.292683 | 77 | py |
DelayResolvedRL | DelayResolvedRL-main/Gym(Constant)/ddqn_main.py | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = "3" # Suppress Tensorflow Messages
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
import numpy as np
from dqn_agents import DDQNAgent, DDQNPlanningAgent, update_loss, reshape_state
from init_main import init_main
import wandb
from tqdm import tqdm
import argparse
import socke... | 6,390 | 42.182432 | 130 | py |
DelayResolvedRL | DelayResolvedRL-main/Gym(Constant)/plot.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import math
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
matplotlib.rcParams.update({'font.size': 13})
# results = pd.read_csv('results_cartpole.csv')
# results = pd.read_csv('results_acrobot.... | 1,652 | 31.411765 | 119 | py |
DelayResolvedRL | DelayResolvedRL-main/Gym(Constant)/delayed_env.py | from collections import deque
from dqn_agents import DQNAgent
import numpy as np
from dqn_agents import reshape_state
from numpy import sin, cos, pi
class DelayedEnv:
def __init__(self, orig_env, delay_value):
self.orig_env = orig_env
self.env_name = str(self.orig_env)
self.is_atari_env = ... | 4,293 | 40.288462 | 128 | py |
baconian-project | baconian-project-master/setup.py | from setuptools import setup, find_packages
import os
def parse_requirements(filename):
""" load requirements from a pip requirements file """
lineiter = (line.strip() for line in open(filename))
return [line for line in lineiter if line and not line.startswith("#")]
CURRENT_PATH = os.path.dirname(os.pa... | 1,245 | 30.15 | 82 | py |
baconian-project | baconian-project-master/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/version.py | __version__ = '0.2.6'
| 22 | 10.5 | 21 | py |
baconian-project | baconian-project-master/baconian/__init__.py | import os
from baconian.version import __version__
ROOT_PATH = os.path.dirname(os.path.realpath(__file__))
| 107 | 26 | 55 | py |
baconian-project | baconian-project-master/baconian/core/status.py | import abc
from baconian.common.logging import ConsoleLogger
from baconian.common.error import *
from functools import wraps
import numpy as np
__all__ = ['Status', 'StatusWithSubInfo', 'StatusWithSingleInfo', 'StatusWithInfo', 'StatusCollector',
'reset_global_status_collect', 'register_counter_info_to_stat... | 12,755 | 38.49226 | 139 | py |
baconian-project | baconian-project-master/baconian/core/core.py | import gym
import numpy as np
from typeguard import typechecked
from baconian.common.spaces import Space
from baconian.common.special import flat_dim, flatten
from baconian.common.logging import Recorder
from baconian.config.global_config import GlobalConfig
from baconian.core.status import *
from baconian.core.util ... | 7,160 | 29.602564 | 118 | py |
baconian-project | baconian-project-master/baconian/core/experiment.py | """
For experiments, its functionality should include:
1. experiment and config set up
2. logging control
3. hyper-param tuning etc.
4. visualization
5. any related experiment utility
...
"""
from baconian.core.core import Basic
from baconian.common.logging import ConsoleLogger
from baconian.config.global_config import... | 6,078 | 43.372263 | 115 | py |
baconian-project | baconian-project-master/baconian/core/experiment_runner.py | import os
import random
import time
import numpy as np
import tensorflow as tf
from GPUtil import GPUtil as Gpu
from typeguard import typechecked
from baconian.common import files as file
from baconian.common.logging import Logger, ConsoleLogger
from baconian.config.global_config import GlobalConfig
from copy import ... | 3,915 | 33.654867 | 117 | py |
baconian-project | baconian-project-master/baconian/core/config.py | import json_tricks as json
import os
import typeguard as tg
class Config(object):
def __init__(self, required_key_dict: dict, config_dict=None, cls_name=""):
self.cls_name = cls_name
self.required_key_dict = required_key_dict
if config_dict:
self.config_dict = config_dict
... | 2,503 | 34.771429 | 120 | py |
baconian-project | baconian-project-master/baconian/core/agent.py | from baconian.core.core import Basic, Env, EnvSpec
from baconian.envs.env_wrapper import Wrapper, ObservationWrapper, StepObservationWrapper
from baconian.common.sampler.sampler import Sampler
from baconian.common.error import *
from baconian.algo.algo import Algo
from typeguard import typechecked
from baconian.algo.mi... | 10,580 | 45.004348 | 119 | py |
baconian-project | baconian-project-master/baconian/core/util.py | from copy import deepcopy
from collections import Hashable
from baconian.common.error import *
from baconian.core.global_var import get_all, reset
from functools import wraps
from baconian.config.global_config import GlobalConfig
def init_func_arg_record_decorator():
def wrap(fn):
@wraps(fn)
def w... | 3,091 | 30.55102 | 114 | py |
baconian-project | baconian-project-master/baconian/core/parameters.py | from typeguard import typechecked
from baconian.config.dict_config import DictConfig
import abc
from baconian.common.logging import Logger
import baconian.common.files as files
import os
from baconian.common.schedules import Scheduler
from copy import deepcopy, copy
class Parameter(object):
# TODO
def __init_... | 5,012 | 41.12605 | 117 | py |
baconian-project | baconian-project-master/baconian/core/__init__.py | # from mobrl.core.config import Config
# from mobrl.core.pipeline import Pipeline
# from mobrl.core.global_config import GlobalConfig
# from mobrl.core.basic import Basic
| 171 | 33.4 | 51 | py |
baconian-project | baconian-project-master/baconian/core/ensemble.py | from baconian.core.core import Basic, Env
from baconian.algo.dynamics.dynamics_model import DynamicsModel, DynamicsEnvWrapper
from baconian.algo.algo import Algo
import numpy as np
import abc
class Ensemble(Basic):
def init(self, *args, **kwargs):
raise NotImplementedError
def save(self, *args, **kw... | 4,729 | 26.988166 | 110 | py |
baconian-project | baconian-project-master/baconian/core/tuner.py | from baconian.common.logging import Recorder
class Tuner(object):
"""
Auto hyper parameter tuning module, tobe done
"""
def __init__(self):
self.recorder = Recorder(default_obj=self)
| 209 | 20 | 50 | py |
baconian-project | baconian-project-master/baconian/core/global_var.py | _global_obj_arg_dict = {}
_global_name_dict = {}
assert id(_global_obj_arg_dict) == id(globals()['_global_obj_arg_dict']) == id(locals()['_global_obj_arg_dict'])
assert id(_global_name_dict) == id(globals()['_global_name_dict']) == id(locals()['_global_name_dict'])
def reset_all():
globals()['_global_obj_arg_dic... | 586 | 24.521739 | 112 | py |
baconian-project | baconian-project-master/baconian/core/flow/dyna_flow.py | from baconian.core.flow.train_test_flow import Flow
from baconian.config.global_config import GlobalConfig
from baconian.common.logging import ConsoleLogger
from baconian.config.dict_config import DictConfig
from baconian.common.misc import *
from baconian.core.parameters import Parameters
from baconian.core.status imp... | 9,349 | 51.52809 | 193 | py |
baconian-project | baconian-project-master/baconian/core/flow/me_ppo_flow.py | from baconian.core.flow.train_test_flow import Flow
from baconian.config.global_config import GlobalConfig
from baconian.common.logging import ConsoleLogger
from baconian.config.dict_config import DictConfig
from baconian.common.misc import *
from baconian.core.parameters import Parameters
from baconian.core.status imp... | 8,906 | 50.485549 | 122 | py |
baconian-project | baconian-project-master/baconian/core/flow/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/core/flow/train_test_flow.py | import abc
from baconian.config.global_config import GlobalConfig
from baconian.common.logging import ConsoleLogger
from baconian.config.dict_config import DictConfig
from baconian.common.misc import *
from baconian.core.parameters import Parameters
from baconian.core.status import *
from baconian.common.error import *... | 7,842 | 41.394595 | 193 | py |
baconian-project | baconian-project-master/baconian/envs/envs_reward_func.py | """
Reward functions in most of some model-based methods are tricky problems,
since model itself require a reward function from outside.
Most of the codebase tune the definition of the reward function differed from original one
without explicit notifying which bring the difficult for users to tune the algorithms witho... | 1,274 | 27.333333 | 113 | py |
baconian-project | baconian-project-master/baconian/envs/dmcontrol_env.py | from baconian.core.core import Env, EnvSpec
have_mujoco_flag = True
try:
from dm_control import mujoco
from gym.envs.mujoco import mujoco_env
from dm_control import suite
from dm_control.rl.specs import ArraySpec
from dm_control.rl.specs import BoundedArraySpec
from collections import OrderedDi... | 5,332 | 30.370588 | 108 | py |
baconian-project | baconian-project-master/baconian/envs/gym_env.py | from baconian.core.core import Env, EnvSpec
import gym.envs
from gym.envs.registration import registry
# do not remove the following import statements
import pybullet
import pybullet_envs
have_mujoco_flag = True
try:
from gym.envs.mujoco import mujoco_env
except Exception:
have_mujoco_flag = False
import numpy... | 8,019 | 33.718615 | 112 | py |
baconian-project | baconian-project-master/baconian/envs/util.py | """
This script is from garage
"""
import gym.spaces
import numpy as np
from baconian.common import special
__all__ = [
'flat_dim', 'flatten', 'flatten_n', 'unflatten', 'unflatten_n',
'weighted_sample'
]
def flat_dim(space):
if isinstance(space, gym.spaces.Box):
return np.prod(space.low.shape)
... | 2,885 | 30.714286 | 78 | py |
baconian-project | baconian-project-master/baconian/envs/__init__.py | import os
import platform
from pathlib import Path
_PLATFORM = platform.system()
try:
_PLATFORM_SUFFIX = {
"Linux": "linux",
"Darwin": "macos",
"Windows": "win64"
}[_PLATFORM]
except KeyError:
raise OSError("Unsupported platform: {}".format(_PLATFORM))
# TODO potential bug here if... | 1,353 | 29.088889 | 83 | py |
baconian-project | baconian-project-master/baconian/envs/env_wrapper.py | from baconian.core.core import Env
from baconian.common.spaces import Box
from baconian.envs.gym_env import GymEnv
import numpy as np
class Wrapper(Env):
def __init__(self, env: Env):
if isinstance(env, GymEnv):
self.env = env.unwrapped_gym
self.src_env = env
else:
... | 3,515 | 29.573913 | 120 | py |
baconian-project | baconian-project-master/baconian/envs/envs_done_func.py | """
Terminal/done signal functions in most of some model-based methods are tricky problems,
since model itself require a reward function from outside.
Most of the codebase tune the definition of the terminal function differed from original one
without explicit notifying which bring the difficult for users to tune the ... | 661 | 43.133333 | 113 | py |
baconian-project | baconian-project-master/baconian/config/global_config.py | """
The script to store some global configuration
"""
from typeguard import typechecked
import json_tricks as json
import tensorflow as tf
import os
from baconian.config.required_keys import SRC_UTIL_REQUIRED_KEYS
from baconian.common.error import *
class _SingletonDefaultGlobalConfig(object):
DEFAULT_MAX_TF_SAV... | 6,471 | 43.328767 | 120 | py |
baconian-project | baconian-project-master/baconian/config/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/config/dict_config.py | import os
from baconian.core.util import init_func_arg_record_decorator
import baconian.common.files as files
class Config(object):
pass
class DictConfig(Config):
@init_func_arg_record_decorator()
def __init__(self, required_key_dict: dict, config_dict: dict = None, cls_name=""):
self.cls_name ... | 3,105 | 36.421687 | 120 | py |
baconian-project | baconian-project-master/baconian/config/required_keys/__init__.py | import os
SRC_UTIL_REQUIRED_KEYS = os.path.dirname(os.path.realpath(__file__))
| 80 | 19.25 | 68 | py |
baconian-project | baconian-project-master/baconian/common/error.py | class BaconianError(Exception):
pass
class GlobalNameExistedError(BaconianError):
pass
class StatusInfoNotRegisteredError(BaconianError):
pass
class StateOrActionOutOfBoundError(BaconianError):
pass
class MemoryBufferLessThanBatchSizeError(BaconianError):
pass
class InappropriateParameterS... | 950 | 14.095238 | 65 | py |
baconian-project | baconian-project-master/baconian/common/special.py | """
This script is from garage
"""
import gym.spaces
import numpy as np
import scipy
import scipy.signal
from typeguard import typechecked
import baconian.common.spaces as mbrl_spaces
def weighted_sample(weights, objects):
"""
Return a random item from objects, with the weighting defined by weights
(which... | 7,397 | 27.898438 | 117 | py |
baconian-project | baconian-project-master/baconian/common/schedules.py | """This file is used for specifying various schedules that evolve over
time throughout the execution of the algorithm, such as:
- learning rate for the optimizer
- exploration epsilon for the epsilon greedy exploration strategy
- beta parameter for beta parameter in prioritized replay
Each schedule has a function `... | 5,382 | 32.64375 | 96 | py |
baconian-project | baconian-project-master/baconian/common/log_data_loader.py | from baconian.common.plotter import Plotter
import pandas as pd
from baconian.common.files import *
from collections import OrderedDict
from typing import Union
class SingleExpLogDataLoader(object):
def __init__(self, exp_root_dir: str):
self._root_dir = exp_root_dir
check_file(path=os.path.join(e... | 6,691 | 45.151724 | 119 | py |
baconian-project | baconian-project-master/baconian/common/logging.py | import abc
import logging
import os
from baconian.common.misc import construct_dict_config
from baconian.common import files as files
from baconian.core.global_var import get_all
from baconian.config.global_config import GlobalConfig
from functools import wraps
from baconian.common.error import *
class BaseLogger(ob... | 15,588 | 39.281654 | 126 | py |
baconian-project | baconian-project-master/baconian/common/misc.py | import numpy as np
__all__ = ['generate_n_actions_hot_code', 'repeat_ndarray', 'construct_dict_config']
def generate_n_actions_hot_code(n):
res = np.arange(0, n)
action = np.zeros([n, n])
action[res, res] = 1
return action
def repeat_ndarray(np_array: np.ndarray, repeats):
np_array = np.expand_... | 978 | 30.580645 | 116 | py |
baconian-project | baconian-project-master/baconian/common/noise.py | """
From openai baselines
"""
import numpy as np
from typeguard import typechecked
from baconian.common.schedules import Scheduler
class AdaptiveParamNoiseSpec(object):
def __init__(self, initial_stddev=0.1, desired_action_stddev=0.1, adoption_coefficient=1.01):
self.initial_stddev = initial_stddev
... | 3,558 | 29.161017 | 114 | py |
baconian-project | baconian-project-master/baconian/common/random.py | # import numpy as np
# import time
# import typeguard as tg
# import functools
#
#
# def random_snapshot(func):
# @functools.wraps(func)
# def wrapper(random_instance):
# random_instance.state_snapshot = random_instance._np_random.get_state()
# return func(random_instance)
#
# return wrapper... | 1,573 | 25.677966 | 113 | py |
baconian-project | baconian-project-master/baconian/common/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/common/plotter.py | import numpy as np
from matplotlib import pyplot as plt
import json
import seaborn as sns
sns.set_style('whitegrid')
class Plotter(object):
markers = ('+', 'x', 'v', 'o', '^', '<', '>', 's', 'p', '*', 'h', 'H', 'D', 'd', 'P', 'X')
color_list = ['b', 'r', 'g', 'm', 'y', 'k', 'cyan', 'plum', 'darkgreen', 'dark... | 10,985 | 53.656716 | 120 | py |
baconian-project | baconian-project-master/baconian/common/files.py | import json_tricks as json
import os
import shutil
from baconian.common.error import *
def create_path(path, del_if_existed=True):
if os.path.exists(path) is True and del_if_existed is False:
raise FileExistsError()
else:
try:
shutil.rmtree(path)
except FileNotFoundError:
... | 2,826 | 29.397849 | 91 | py |
baconian-project | baconian-project-master/baconian/common/data_pre_processing.py | """
A scikit-learn liked module for handle the data pre-processing including normalization, standardization,
"""
import numpy as np
from baconian.common.error import *
class DataScaler(object):
def __init__(self, dims):
self.data_dims = dims
def _check_scaler(self, scaler) -> bool:
if len(sc... | 8,243 | 38.444976 | 120 | py |
baconian-project | baconian-project-master/baconian/common/sampler/sampler.py | from baconian.core.core import Basic, Env
from baconian.common.sampler.sample_data import TransitionData, TrajectoryData
from typeguard import typechecked
import numpy as np
class Sampler(object):
"""
Sampler module that handle the sampling procedure for training/testing of the agent.
"""
@staticmeth... | 4,178 | 42.53125 | 125 | py |
baconian-project | baconian-project-master/baconian/common/sampler/sample_data.py | from baconian.common.special import *
from baconian.core.core import EnvSpec
from copy import deepcopy
import typeguard as tg
from baconian.common.error import *
class SampleData(object):
def __init__(self, env_spec: EnvSpec = None, obs_shape=None, action_shape=None):
if env_spec is None and (obs_shape is... | 9,553 | 40.359307 | 115 | py |
baconian-project | baconian-project-master/baconian/common/sampler/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/common/spaces/box.py | import numpy as np
from baconian.common.spaces.base import Space
class Box(Space):
"""
A box in R^n.
I.e., each coordinate is bounded.
"""
def __init__(self, low, high, shape=None):
"""
Two kinds of valid input:
Box(-1.0, 1.0, (3,4)) # low and high are scalars, and sha... | 2,212 | 25.987805 | 78 | py |
baconian-project | baconian-project-master/baconian/common/spaces/base.py | class Space:
"""
Provides a classification state spaces and action spaces,
so you can write generic code that applies to any Environment.
E.g. to choose a random action.
"""
def sample(self, seed=0):
"""
Uniformly randomly sample a random element of this space
"""
... | 1,396 | 24.4 | 74 | py |
baconian-project | baconian-project-master/baconian/common/spaces/dict.py | """This is a garage-compatible wrapper for Dict spaces."""
from collections import OrderedDict
from baconian.common.spaces.base import Space
from baconian.common.spaces import Box
import numpy as np
import types
class Dict(Space):
"""
A dictionary of simpler spaces, e.g. Discrete, Box.
Example usage:
... | 4,479 | 24.168539 | 87 | py |
baconian-project | baconian-project-master/baconian/common/spaces/discrete.py | import numpy as np
from baconian.common.spaces.base import Space
class Discrete(Space):
"""
{0,1,...,n-1}
"""
def __init__(self, n):
self._n = n
@property
def n(self):
return self._n
def sample(self):
return np.random.randint(self.n)
def contains(self, x):
... | 1,928 | 21.430233 | 84 | py |
baconian-project | baconian-project-master/baconian/common/spaces/__init__.py | from baconian.common.spaces.base import Space
from baconian.common.spaces.box import Box
from baconian.common.spaces.dict import Dict
from baconian.common.spaces.discrete import Discrete
from baconian.common.spaces.tuple import Tuple
__all__ = ["Space", "Box", "Dict", "Discrete", "Tuple"]
| 291 | 35.5 | 55 | py |
baconian-project | baconian-project-master/baconian/common/spaces/tuple.py | import numpy as np
from baconian.common.spaces.base import Space
class Tuple(Space):
def __init__(self, *components):
if isinstance(components[0], (list, tuple)):
assert len(components) == 1
components = components[0]
self._components = tuple(components)
dtypes = [... | 2,371 | 31.054054 | 78 | py |
baconian-project | baconian-project-master/baconian/examples/ppo_pendulum.py | # Date: 3/30/19
# Author: Luke
# Project: baconian-internal
"""
A simple example to show how to build up an experiment with ppo training and testing on Pendulum-v0
"""
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
from baconian.algo.value_func import MLPVValueFunc
from baconian.algo.ppo... | 5,648 | 40.844444 | 99 | py |
baconian-project | baconian-project-master/baconian/examples/dqn_acrobot_example.py | from baconian.algo.dqn import DQN
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
from baconian.algo.value_func.mlp_q_value import MLPQValueFunction
from baconian.core.agent import Agent
from baconian.algo.misc import EpsilonGreedy
from baconian.core.experiment import Experiment
from bacon... | 4,715 | 44.786408 | 98 | py |
baconian-project | baconian-project-master/baconian/examples/early_stopping_flow.py | """
This script show the example for adding an early stopping feature so when the agent can't increase its received average
reward for evaluation, the experiment will end early.
To do so in a extensible and modular way. We can implement a new flow called EarlyStoppingFlow that implement a special
ending condition dete... | 8,729 | 44 | 254 | py |
baconian-project | baconian-project-master/baconian/examples/gp_dynamics.py | """
This gives a simple example on how to use Gaussian Process (GP) to approximate the Gym environment Pendulum-v0
We use gpflow package to build the Gaussian Process.
"""
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
import numpy as np
from baconian.common.sampler.sample_data import Tra... | 2,315 | 40.357143 | 113 | py |
baconian-project | baconian-project-master/baconian/examples/dyna.py | """
A simple example to show how to build up an experiment with Dyna training and testing on Pendulum-v0
"""
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
from baconian.algo.value_func.mlp_q_value import MLPQValueFunction
from baconian.algo.ddpg import DDPG
from baconian.algo.policy impo... | 9,525 | 46.158416 | 116 | py |
baconian-project | baconian-project-master/baconian/examples/ddpg_pendulum.py | """
A simple example to show how to build up an experiment with ddpg training and testing on Pendulum-v0
"""
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
from baconian.algo.value_func.mlp_q_value import MLPQValueFunction
from baconian.algo.ddpg import DDPG
from baconian.algo.policy impo... | 5,169 | 40.693548 | 100 | py |
baconian-project | baconian-project-master/baconian/examples/scheduler_parameter_dqn.py | """
In this example, we demonstrate how to utilize the scheduler module to dynamically setting the
learning rate of your algorithm, or epsilon-greedy probability
"""
from baconian.algo.dqn import DQN
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
from baconian.algo.value_func.mlp_q_value... | 4,857 | 46.165049 | 103 | py |
baconian-project | baconian-project-master/baconian/examples/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/examples/env_wrapper.py | """
A simple example to show how to wrap original environment's observation space, action space and reward function for
reshaping to boost the agent's training.
Actually, this is the feature supported by gym, but since we develop a new environment class based on gym's env, so
a tutorial is given th better introduce the... | 804 | 34 | 115 | py |
baconian-project | baconian-project-master/baconian/examples/test_all_example.py | import glob
import os
import importlib.util
ABS_PATH = os.path.dirname(os.path.realpath(__file__))
def test_all():
file_list = glob.glob(os.path.join(ABS_PATH, '*.py'))
file_list.remove(os.path.realpath(__file__))
for f in file_list:
spec = importlib.util.spec_from_file_location('', f)
mo... | 449 | 22.684211 | 60 | py |
baconian-project | baconian-project-master/baconian/examples/model_ensemble_ddpg.py | """
An example showing the Model-ensemble method in
Kurutach, Thanard, et al. "Model-ensemble trust-region policy optimization." arXiv preprint arXiv:1802.10592 (2018).
Here we use Model-ensemble with DDPG instead of TRPO on Pendulum-v1, also resue the Dyna flow to show the flexibility of Baconian modules.
"""
from ... | 9,054 | 44.732323 | 138 | py |
baconian-project | baconian-project-master/baconian/examples/mpc.py | """
A simple example to show how to build up an experiment with ddpg training and testing on MountainCarContinuous-v0
"""
from baconian.core.core import EnvSpec
from baconian.envs.gym_env import make
from baconian.core.agent import Agent
from baconian.algo.misc import EpsilonGreedy
from baconian.core.experiment import ... | 3,518 | 36.042105 | 114 | py |
baconian-project | baconian-project-master/baconian/test/run_all_tests.py | from unittest import TestLoader, TextTestRunner, TestSuite
import sys
import os
path = os.path.dirname(os.path.realpath(__file__))
# sys.path.append(path)
# print('join {} into environ path'.format(path))
src_dir = os.path.abspath(os.path.join(path, os.pardir, os.pardir))
sys.path.append(src_dir)
print('join {} into e... | 690 | 27.791667 | 106 | py |
baconian-project | baconian-project-master/baconian/test/__init__.py | import os
import sys
CURRENT_PATH = os.path.dirname(os.path.realpath(__file__))
sys.path.append(CURRENT_PATH)
PAR_PATH = os.path.abspath(os.path.join(CURRENT_PATH, os.pardir))
sys.path.append(PAR_PATH)
| 203 | 24.5 | 65 | py |
baconian-project | baconian-project-master/baconian/test/tests/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_replay_buffer.py | from baconian.envs.gym_env import make
from baconian.core.core import EnvSpec
from baconian.test.tests.set_up.setup import BaseTestCase
from baconian.algo.misc.replay_buffer import UniformRandomReplayBuffer
class TestReplaybuffer(BaseTestCase):
def test_transition_data(self):
env = make('Acrobot-v1')
... | 1,183 | 44.538462 | 86 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_copy_globally.py | from baconian.test.tests.set_up.setup import TestTensorflowSetup
from baconian.core.util import get_global_arg_dict
class TestCopyGlobally(TestTensorflowSetup):
def test_init_arg_decorator(self):
dqn, local = self.create_dqn()
env_spec = local['env_spec']
mlp_q = local['mlp_q']
dqn... | 551 | 28.052632 | 64 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_logger_recorder.py | from baconian.test.tests.set_up.setup import TestWithAll
from baconian.common.logging import Logger, ConsoleLogger, Recorder, record_return_decorator
import numpy as np
from baconian.core.core import Basic, EnvSpec
from baconian.algo.dqn import DQN
from baconian.envs.gym_env import make
from baconian.algo.value_func.ml... | 8,343 | 43.382979 | 113 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_space.py | import unittest
from baconian.core.core import EnvSpec
from baconian.common.spaces import *
from baconian.common.special import *
from baconian.envs.gym_env import make
import numpy as np
from baconian.test.tests.set_up.setup import *
class TestSpace(TestWithLogSet):
def test_box(self):
pass
| 307 | 22.692308 | 46 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_data_pre_processing.py | from baconian.envs.gym_env import make
from baconian.core.core import EnvSpec
from baconian.test.tests.set_up.setup import BaseTestCase
from baconian.common.data_pre_processing import *
import numpy as np
class TestDataPreProcessing(BaseTestCase):
def test_min_max(self):
for env in (make('Pendulum-v0'), m... | 10,744 | 53.543147 | 97 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_noise.py | from baconian.test.tests.set_up.setup import BaseTestCase
from baconian.common.noise import *
from baconian.common.schedules import *
t = 0
def get_t():
global t
return t
class TestNoise(BaseTestCase):
def test_all_noise(self):
action_w = LinearScheduler(t_fn=get_t,
... | 1,277 | 35.514286 | 97 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_misc.py | import unittest
from baconian.core.core import EnvSpec
from baconian.common.spaces import *
from baconian.common.special import *
from baconian.envs.gym_env import make
import numpy as np
from baconian.test.tests.set_up.setup import BaseTestCase
def create_env_spec():
env = EnvSpec(obs_space=Box(low=0.0,
... | 2,147 | 36.684211 | 87 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_sample_data.py | from baconian.common.sampler.sample_data import TransitionData, TrajectoryData
from baconian.envs.gym_env import make
from baconian.core.core import EnvSpec
import numpy as np
from baconian.test.tests.set_up.setup import BaseTestCase
from baconian.common.error import *
class TestSampleData(BaseTestCase):
def test... | 5,900 | 45.101563 | 114 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_common/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/test/tests/test_common/test_status.py | from baconian.test.tests.set_up.setup import TestWithAll
from baconian.core.status import StatusCollector
class TestStatus(TestWithAll):
def test_status_collector(self):
a = StatusCollector()
algo, local = self.create_dqn()
env = local['env']
env_spec = local['env_spec']
... | 2,367 | 39.827586 | 108 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_env/test_basic.py | from baconian.envs.gym_env import GymEnv
from baconian.test.tests.set_up.setup import TestWithLogSet
from gym import make
class TestEnv(TestWithLogSet):
def test_gym_env(self):
a = GymEnv('Acrobot-v1')
a.set_status('TRAIN')
self.assertEqual(a.total_step_count_fn(), 0)
self.assertEq... | 1,482 | 36.075 | 78 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_env/test_atari.py | from baconian.envs.gym_env import GymEnv
from baconian.test.tests.set_up.setup import TestWithLogSet
from gym import make
class TestEnv(TestWithLogSet):
def test_gym_env(self):
a = GymEnv('AirRaid-v0')
a.set_status('TRAIN')
self.assertEqual(a.total_step_count_fn(), 0)
self.assertEq... | 863 | 35 | 78 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_env/test_pybullet_env.py | from baconian.envs.gym_env import GymEnv
from baconian.test.tests.set_up.setup import TestWithLogSet
from gym import make
class TestEnv(TestWithLogSet):
def test_gym_env(self):
a = GymEnv('HalfCheetahBulletEnv-v0')
a.set_status('TRAIN')
self.assertEqual(a.total_step_count_fn(), 0)
... | 876 | 35.541667 | 78 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_env/test_env_wrapper.py | from baconian.envs.gym_env import GymEnv, make
from baconian.test.tests.set_up.setup import TestWithLogSet
from baconian.envs.env_wrapper import StepObservationWrapper
class TestEnvWrapper(TestWithLogSet):
def test_obs_wrapper(self):
env = make('Pendulum-v0')
env = StepObservationWrapper(env=env)
... | 778 | 37.95 | 77 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_env/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/test/tests/test_env/test_dmcontrol.py | from baconian.envs.dmcontrol_env import have_mujoco_flag
import unittest
class TestEnv(unittest.TestCase):
def test_dmcontrol_env(self):
if have_mujoco_flag:
from baconian.envs.dmcontrol_env import DMControlEnv
a = DMControlEnv('cartpole', 'swingup')
a.set_status('TRAIN... | 996 | 38.88 | 82 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_env/test_robotics.py | from baconian.envs.gym_env import GymEnv
from baconian.test.tests.set_up.setup import TestWithLogSet
from gym import make
import os
import platform
from pathlib import Path
_PLATFORM = platform.system()
try:
_PLATFORM_SUFFIX = {
"Linux": "linux",
"Darwin": "macos",
"Windows": "win64"
}[... | 1,769 | 33.705882 | 115 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_agent/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/test/tests/test_agent/test_agent.py | from baconian.test.tests.set_up.setup import TestWithAll
from baconian.common.sampler.sample_data import SampleData
class TestAgent(TestWithAll):
def test_agent(self):
algo, local = self.create_dqn()
env = local['env']
env_spec = local['env_spec']
agent, _ = self.create_agent(algo=... | 1,458 | 41.911765 | 95 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_rl/__init__.py | 0 | 0 | 0 | py | |
baconian-project | baconian-project-master/baconian/test/tests/test_rl/test_algo.py | from baconian.test.tests.set_up.setup import TestTensorflowSetup
import tensorflow as tf
from baconian.algo.dynamics.dynamics_model import DifferentiableDynamics
import numpy as np
class TestBasicClassInAlgo(TestTensorflowSetup):
def test_derivable(self):
val = 10.0
val2 = 2.0
bs = 1
... | 2,446 | 38.467742 | 92 | py |
baconian-project | baconian-project-master/baconian/test/tests/test_rl/test_misc/__init__.py | 0 | 0 | 0 | py |
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