D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Paper • 2004.07219 • Published • 1
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found decision_transformer_gym_replay.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found decision_transformer_gym_replay.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for D4RL-gym
Dataset Summary
D4RL is an open-source benchmark for offline reinforcement learning. It provides standardized environments and datasets for training and benchmarking algorithms. We host here a subset of the dataset, used for the training of Decision Transformers : https://github.com/kzl/decision-transformer There is only a training set for this dataset, as evaluation is undertaken by interacting with a simulator.
Dataset Structure
Data Instances
A data point comprises tuples of sequences of (observations, actions, reward, dones):
{
"observations":datasets.Array2D(),
"actions":datasets.Array2D(),
"rewards":datasets.Array2D(),
"dones":datasets.Array2D(),
}
Data Fields
observations: An Array2D containing 1000 observations from a trajectory of an evaluated agent.actions: An Array2D containing 1000 actions from a trajectory of an evaluated agent.rewards: An Array2D containing 1000 rewards from a trajectory of an evaluated agent.dones: An Array2D containing 1000 terminal state flags from a trajectory of an evaluated agent.
Data Splits
There is only a training set for this dataset, as evaluation is undertaken by interacting with a simulator.
Additional Information
Dataset Curators
Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine
Licensing Information
MIT Licence
Citation Information
@misc{fu2021d4rl,
title={D4RL: Datasets for Deep Data-Driven Reinforcement Learning},
author={Justin Fu and Aviral Kumar and Ofir Nachum and George Tucker and Sergey Levine},
year={2021},
eprint={2004.07219},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
Contributions
Thanks to @edbeeching for adding this dataset.
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