Chiz commited on
Commit
8ac7098
·
verified ·
1 Parent(s): 82d8ec9

Unit 5 SnowballTarget

Browse files
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - SnowballTarget
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - ML-Agents-SnowballTarget
8
+ ---
9
+
10
+ # **ppo** Agent playing **SnowballTarget**
11
+ This is a trained model of a **ppo** agent playing **SnowballTarget**
12
+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
+
14
+ ## Usage (with ML-Agents)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
19
+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
22
+
23
+ ### Resume the training
24
+ ```bash
25
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
26
+ ```
27
+
28
+ ### Watch your Agent play
29
+ You can watch your agent **playing directly in your browser**
30
+
31
+ 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
32
+ 2. Step 1: Find your model_id: Chiz/ppo-SnowballTarget
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
SnowballTarget.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2114f68b2e9a0f0b0be80528cc1f05302c4467f565ef6d51aa2d9b7e8bb90cad
3
+ size 650645
SnowballTarget/SnowballTarget-1000696.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2114f68b2e9a0f0b0be80528cc1f05302c4467f565ef6d51aa2d9b7e8bb90cad
3
+ size 650645
SnowballTarget/SnowballTarget-1000696.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54af6df37212729907fb26baf42bdd15218071b16df7a389944661e2b12a3ecb
3
+ size 3848855
SnowballTarget/SnowballTarget-399968.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a236479b193dc7a1cec795115f3dc086349418c744a206b7756303280e2c58c0
3
+ size 650645
SnowballTarget/SnowballTarget-399968.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a76b7cb669316dabba9bb25bdbca72cbe82a6414e1a325b436fb2bcdc8293e8
3
+ size 3848718
SnowballTarget/SnowballTarget-599976.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62bf182942bdf6ff957913523429bb2f8aef1817c31c548690a0f797b04c9058
3
+ size 650645
SnowballTarget/SnowballTarget-599976.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8b43cb24fecd8f6b14852485b78ae38b3a27399df22ae3a0e69c52e7aeac02f
3
+ size 3848718
SnowballTarget/SnowballTarget-799984.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f348d6d353a84ef99bf9297f3ed071a4dec9fa4b03d091babec1343335440a4e
3
+ size 650645
SnowballTarget/SnowballTarget-799984.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2c0f7885f9f12b41b630e99c935687593d899411dd5140c85da12e6aef7bd59
3
+ size 3848718
SnowballTarget/SnowballTarget-999992.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2114f68b2e9a0f0b0be80528cc1f05302c4467f565ef6d51aa2d9b7e8bb90cad
3
+ size 650645
SnowballTarget/SnowballTarget-999992.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f556966bac7d4e8588211e374f636758c60ea98cfdef7a8e9fbd3fb89cb0ec00
3
+ size 3848718
SnowballTarget/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec1d668662885ad15c8b4bf4153bee67d307984442f770e64fe5425107744f53
3
+ size 3847851
SnowballTarget/events.out.tfevents.1771964269.99d11e677bcf.1923.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdbe8ffbf218eecc23b92a9da3cf28c8fb35826622d9c0359f063ecdbf920f27
3
+ size 33448
SnowballTarget/events.out.tfevents.1771964824.99d11e677bcf.2014.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:208a600c7c5442001b5c38e7ea214eda05024a5611bb9444ca145576c5c66e58
3
+ size 1170
SnowballTarget/events.out.tfevents.1771965162.99d11e677bcf.2086.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:452b3863a6b3ae61938069214e09981fac87283cae9edf2a86e4b07e442ae3cc
3
+ size 1170
SnowballTarget/events.out.tfevents.1771965496.99d11e677bcf.2184.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3cbf355222e5c04a094dba36257de158939942ba6051126f539a045bba12579
3
+ size 66666
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 200000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 1000000, "time_horizon": 64, "summary_freq": 10000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "/kaggle/working/training-envs-executables/SnowballTarget/SnowballTarget/SnowballTarget.x86_64", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ SnowballTarget:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 128
7
+ buffer_size: 2048
8
+ learning_rate: 0.0003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ shared_critic: false
14
+ learning_rate_schedule: linear
15
+ beta_schedule: linear
16
+ epsilon_schedule: linear
17
+ checkpoint_interval: 200000
18
+ network_settings:
19
+ normalize: false
20
+ hidden_units: 256
21
+ num_layers: 2
22
+ vis_encode_type: simple
23
+ memory: null
24
+ goal_conditioning_type: hyper
25
+ deterministic: false
26
+ reward_signals:
27
+ extrinsic:
28
+ gamma: 0.99
29
+ strength: 1.0
30
+ network_settings:
31
+ normalize: false
32
+ hidden_units: 128
33
+ num_layers: 2
34
+ vis_encode_type: simple
35
+ memory: null
36
+ goal_conditioning_type: hyper
37
+ deterministic: false
38
+ init_path: null
39
+ keep_checkpoints: 5
40
+ even_checkpoints: false
41
+ max_steps: 1000000
42
+ time_horizon: 64
43
+ summary_freq: 10000
44
+ threaded: false
45
+ self_play: null
46
+ behavioral_cloning: null
47
+ env_settings:
48
+ env_path: /kaggle/working/training-envs-executables/SnowballTarget/SnowballTarget/SnowballTarget.x86_64
49
+ env_args: null
50
+ base_port: 5005
51
+ num_envs: 1
52
+ num_areas: 1
53
+ timeout_wait: 60
54
+ seed: -1
55
+ max_lifetime_restarts: 10
56
+ restarts_rate_limit_n: 1
57
+ restarts_rate_limit_period_s: 60
58
+ engine_settings:
59
+ width: 84
60
+ height: 84
61
+ quality_level: 5
62
+ time_scale: 20
63
+ target_frame_rate: -1
64
+ capture_frame_rate: 60
65
+ no_graphics: true
66
+ no_graphics_monitor: false
67
+ environment_parameters: null
68
+ checkpoint_settings:
69
+ run_id: SnowballTarget1
70
+ initialize_from: null
71
+ load_model: false
72
+ resume: true
73
+ force: false
74
+ train_model: false
75
+ inference: false
76
+ results_dir: results
77
+ torch_settings:
78
+ device: null
79
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,269 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/kaggle/working/training-envs-executables/SnowballTarget/SnowballTarget/SnowballTarget_Data/Managed'
2
+ Mono config path = '/kaggle/working/training-envs-executables/SnowballTarget/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
+ Preloaded 'lib_burst_generated.so'
4
+ Preloaded 'libgrpc_csharp_ext.x64.so'
5
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
6
+ [Subsystems] Discovering subsystems at path /kaggle/working/training-envs-executables/SnowballTarget/SnowballTarget/SnowballTarget_Data/UnitySubsystems
7
+ Forcing GfxDevice: Null
8
+ GfxDevice: creating device client; threaded=0; jobified=0
9
+ NullGfxDevice:
10
+ Version: NULL 1.0 [1.0]
11
+ Renderer: Null Device
12
+ Vendor: Unity Technologies
13
+ ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
14
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
15
+ ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
16
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
17
+ ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
18
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
19
+ ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
20
+ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
21
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
22
+ Forced to initialize FMOD to to the device driver's system output rate 48000, this may impact performance and/or give inconsistent experiences compared to selected sample rate 48000
23
+ ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
24
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
25
+ ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
26
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
27
+ ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
28
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
29
+ ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
30
+ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
31
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
32
+ FMOD initialized on nosound output
33
+ Begin MonoManager ReloadAssembly
34
+ - Completed reload, in 0.092 seconds
35
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
36
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
37
+ ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
38
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
39
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
40
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
41
+ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
42
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
43
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
44
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
45
+ UnloadTime: 0.735038 ms
46
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
47
+ requesting resize 84 x 84
48
+ Setting up 2 worker threads for Enlighten.
49
+ Memory Statistics:
50
+ [ALLOC_TEMP_TLS] TLS Allocator
51
+ StackAllocators :
52
+ [ALLOC_TEMP_MAIN]
53
+ Peak usage frame count: [8.0 KB-16.0 KB]: 21474 frames, [16.0 KB-32.0 KB]: 363 frames, [2.0 MB-4.0 MB]: 1 frames
54
+ Initial Block Size 4.0 MB
55
+ Current Block Size 4.0 MB
56
+ Peak Allocated Bytes 2.0 MB
57
+ Overflow Count 0
58
+ [ALLOC_TEMP_Loading.AsyncRead]
59
+ Initial Block Size 64.0 KB
60
+ Current Block Size 64.0 KB
61
+ Peak Allocated Bytes 210 B
62
+ Overflow Count 0
63
+ [ALLOC_TEMP_Loading.PreloadManager]
64
+ Initial Block Size 256.0 KB
65
+ Current Block Size 304.0 KB
66
+ Peak Allocated Bytes 228.9 KB
67
+ Overflow Count 4
68
+ [ALLOC_TEMP_Background Job.Worker 8]
69
+ Initial Block Size 32.0 KB
70
+ Current Block Size 32.0 KB
71
+ Peak Allocated Bytes 0 B
72
+ Overflow Count 0
73
+ [ALLOC_TEMP_Background Job.Worker 9]
74
+ Initial Block Size 32.0 KB
75
+ Current Block Size 32.0 KB
76
+ Peak Allocated Bytes 0 B
77
+ Overflow Count 0
78
+ [ALLOC_TEMP_Job.Worker 0]
79
+ Initial Block Size 256.0 KB
80
+ Current Block Size 256.0 KB
81
+ Peak Allocated Bytes 3.6 KB
82
+ Overflow Count 0
83
+ [ALLOC_TEMP_Background Job.Worker 10]
84
+ Initial Block Size 32.0 KB
85
+ Current Block Size 32.0 KB
86
+ Peak Allocated Bytes 0 B
87
+ Overflow Count 0
88
+ [ALLOC_TEMP_Background Job.Worker 14]
89
+ Initial Block Size 32.0 KB
90
+ Current Block Size 32.0 KB
91
+ Peak Allocated Bytes 0 B
92
+ Overflow Count 0
93
+ [ALLOC_TEMP_Background Job.Worker 6]
94
+ Initial Block Size 32.0 KB
95
+ Current Block Size 32.0 KB
96
+ Peak Allocated Bytes 0 B
97
+ Overflow Count 0
98
+ [ALLOC_TEMP_Background Job.Worker 12]
99
+ Initial Block Size 32.0 KB
100
+ Current Block Size 32.0 KB
101
+ Peak Allocated Bytes 0 B
102
+ Overflow Count 0
103
+ [ALLOC_TEMP_EnlightenWorker] x 2
104
+ Initial Block Size 64.0 KB
105
+ Current Block Size 64.0 KB
106
+ Peak Allocated Bytes 0 B
107
+ Overflow Count 0
108
+ [ALLOC_TEMP_Background Job.Worker 15]
109
+ Initial Block Size 32.0 KB
110
+ Current Block Size 32.0 KB
111
+ Peak Allocated Bytes 0 B
112
+ Overflow Count 0
113
+ [ALLOC_TEMP_Background Job.Worker 1]
114
+ Initial Block Size 32.0 KB
115
+ Current Block Size 32.0 KB
116
+ Peak Allocated Bytes 0 B
117
+ Overflow Count 0
118
+ [ALLOC_TEMP_Background Job.Worker 2]
119
+ Initial Block Size 32.0 KB
120
+ Current Block Size 32.0 KB
121
+ Peak Allocated Bytes 0 B
122
+ Overflow Count 0
123
+ [ALLOC_TEMP_Background Job.Worker 7]
124
+ Initial Block Size 32.0 KB
125
+ Current Block Size 32.0 KB
126
+ Peak Allocated Bytes 0 B
127
+ Overflow Count 0
128
+ [ALLOC_TEMP_AssetGarbageCollectorHelper] x 3
129
+ Initial Block Size 64.0 KB
130
+ Current Block Size 64.0 KB
131
+ Peak Allocated Bytes 0 B
132
+ Overflow Count 0
133
+ [ALLOC_TEMP_Background Job.Worker 5]
134
+ Initial Block Size 32.0 KB
135
+ Current Block Size 32.0 KB
136
+ Peak Allocated Bytes 0 B
137
+ Overflow Count 0
138
+ [ALLOC_TEMP_Background Job.Worker 13]
139
+ Initial Block Size 32.0 KB
140
+ Current Block Size 32.0 KB
141
+ Peak Allocated Bytes 0 B
142
+ Overflow Count 0
143
+ [ALLOC_TEMP_Job.Worker 1]
144
+ Initial Block Size 256.0 KB
145
+ Current Block Size 256.0 KB
146
+ Peak Allocated Bytes 3.6 KB
147
+ Overflow Count 0
148
+ [ALLOC_TEMP_Job.Worker 2]
149
+ Initial Block Size 256.0 KB
150
+ Current Block Size 256.0 KB
151
+ Peak Allocated Bytes 3.6 KB
152
+ Overflow Count 0
153
+ [ALLOC_TEMP_Background Job.Worker 3]
154
+ Initial Block Size 32.0 KB
155
+ Current Block Size 32.0 KB
156
+ Peak Allocated Bytes 0 B
157
+ Overflow Count 0
158
+ [ALLOC_TEMP_Background Job.Worker 11]
159
+ Initial Block Size 32.0 KB
160
+ Current Block Size 32.0 KB
161
+ Peak Allocated Bytes 0 B
162
+ Overflow Count 0
163
+ [ALLOC_TEMP_Background Job.Worker 0]
164
+ Initial Block Size 32.0 KB
165
+ Current Block Size 32.0 KB
166
+ Peak Allocated Bytes 0 B
167
+ Overflow Count 0
168
+ [ALLOC_TEMP_Background Job.Worker 4]
169
+ Initial Block Size 32.0 KB
170
+ Current Block Size 32.0 KB
171
+ Peak Allocated Bytes 0 B
172
+ Overflow Count 0
173
+ [ALLOC_TEMP_BatchDeleteObjects]
174
+ Initial Block Size 64.0 KB
175
+ Current Block Size 64.0 KB
176
+ Peak Allocated Bytes 0 B
177
+ Overflow Count 0
178
+ [ALLOC_DEFAULT] Dual Thread Allocator
179
+ Peak main deferred allocation count 37
180
+ [ALLOC_BUCKET]
181
+ Large Block size 4.0 MB
182
+ Used Block count 1
183
+ Peak Allocated bytes 1.0 MB
184
+ [ALLOC_DEFAULT_MAIN]
185
+ Peak usage frame count: [4.0 MB-8.0 MB]: 10116 frames, [8.0 MB-16.0 MB]: 11722 frames
186
+ Requested Block Size 16.0 MB
187
+ Peak Block count 1
188
+ Peak Allocated memory 12.2 MB
189
+ Peak Large allocation bytes 0 B
190
+ [ALLOC_DEFAULT_THREAD]
191
+ Peak usage frame count: [16.0 MB-32.0 MB]: 21838 frames
192
+ Requested Block Size 16.0 MB
193
+ Peak Block count 1
194
+ Peak Allocated memory 17.5 MB
195
+ Peak Large allocation bytes 16.0 MB
196
+ [ALLOC_TEMP_JOB_1_FRAME]
197
+ Initial Block Size 2.0 MB
198
+ Used Block Count 1
199
+ Overflow Count (too large) 0
200
+ Overflow Count (full) 0
201
+ [ALLOC_TEMP_JOB_2_FRAMES]
202
+ Initial Block Size 2.0 MB
203
+ Used Block Count 1
204
+ Overflow Count (too large) 0
205
+ Overflow Count (full) 0
206
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
207
+ Initial Block Size 2.0 MB
208
+ Used Block Count 2
209
+ Overflow Count (too large) 0
210
+ Overflow Count (full) 0
211
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
212
+ Initial Block Size 1.0 MB
213
+ Used Block Count 3
214
+ Overflow Count (too large) 0
215
+ Overflow Count (full) 0
216
+ [ALLOC_GFX] Dual Thread Allocator
217
+ Peak main deferred allocation count 0
218
+ [ALLOC_BUCKET]
219
+ Large Block size 4.0 MB
220
+ Used Block count 1
221
+ Peak Allocated bytes 1.0 MB
222
+ [ALLOC_GFX_MAIN]
223
+ Peak usage frame count: [32.0 KB-64.0 KB]: 21327 frames, [64.0 KB-128.0 KB]: 511 frames
224
+ Requested Block Size 16.0 MB
225
+ Peak Block count 1
226
+ Peak Allocated memory 66.4 KB
227
+ Peak Large allocation bytes 0 B
228
+ [ALLOC_GFX_THREAD]
229
+ Peak usage frame count: [32.0 KB-64.0 KB]: 21838 frames
230
+ Requested Block Size 16.0 MB
231
+ Peak Block count 1
232
+ Peak Allocated memory 39.6 KB
233
+ Peak Large allocation bytes 0 B
234
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
235
+ Peak main deferred allocation count 0
236
+ [ALLOC_BUCKET]
237
+ Large Block size 4.0 MB
238
+ Used Block count 1
239
+ Peak Allocated bytes 1.0 MB
240
+ [ALLOC_CACHEOBJECTS_MAIN]
241
+ Peak usage frame count: [0.5 MB-1.0 MB]: 21838 frames
242
+ Requested Block Size 4.0 MB
243
+ Peak Block count 1
244
+ Peak Allocated memory 0.6 MB
245
+ Peak Large allocation bytes 0 B
246
+ [ALLOC_CACHEOBJECTS_THREAD]
247
+ Peak usage frame count: [0.5 MB-1.0 MB]: 21837 frames, [2.0 MB-4.0 MB]: 1 frames
248
+ Requested Block Size 4.0 MB
249
+ Peak Block count 1
250
+ Peak Allocated memory 2.2 MB
251
+ Peak Large allocation bytes 0 B
252
+ [ALLOC_TYPETREE] Dual Thread Allocator
253
+ Peak main deferred allocation count 0
254
+ [ALLOC_BUCKET]
255
+ Large Block size 4.0 MB
256
+ Used Block count 1
257
+ Peak Allocated bytes 1.0 MB
258
+ [ALLOC_TYPETREE_MAIN]
259
+ Peak usage frame count: [0-1.0 KB]: 21838 frames
260
+ Requested Block Size 2.0 MB
261
+ Peak Block count 1
262
+ Peak Allocated memory 1.0 KB
263
+ Peak Large allocation bytes 0 B
264
+ [ALLOC_TYPETREE_THREAD]
265
+ Peak usage frame count: [1.0 KB-2.0 KB]: 21838 frames
266
+ Requested Block Size 2.0 MB
267
+ Peak Block count 1
268
+ Peak Allocated memory 1.7 KB
269
+ Peak Large allocation bytes 0 B
run_logs/timers.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 0.6763535141944885,
6
+ "min": 0.5772567987442017,
7
+ "max": 0.8170011043548584,
8
+ "count": 81
9
+ },
10
+ "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 6904.216796875,
12
+ "min": 573.7645263671875,
13
+ "max": 8339.947265625,
14
+ "count": 81
15
+ },
16
+ "SnowballTarget.IsTraining.mean": {
17
+ "value": 1.0,
18
+ "min": 1.0,
19
+ "max": 1.0,
20
+ "count": 81
21
+ },
22
+ "SnowballTarget.IsTraining.sum": {
23
+ "value": 1.0,
24
+ "min": 1.0,
25
+ "max": 1.0,
26
+ "count": 81
27
+ },
28
+ "SnowballTarget.Step.mean": {
29
+ "value": 999992.0,
30
+ "min": 209936.0,
31
+ "max": 999992.0,
32
+ "count": 80
33
+ },
34
+ "SnowballTarget.Step.sum": {
35
+ "value": 999992.0,
36
+ "min": 209936.0,
37
+ "max": 999992.0,
38
+ "count": 80
39
+ },
40
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
41
+ "value": 14.001880645751953,
42
+ "min": 12.165338516235352,
43
+ "max": 14.145326614379883,
44
+ "count": 80
45
+ },
46
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
47
+ "value": 2730.36669921875,
48
+ "min": 2360.07568359375,
49
+ "max": 2894.1689453125,
50
+ "count": 80
51
+ },
52
+ "SnowballTarget.Losses.PolicyLoss.mean": {
53
+ "value": 0.06619183858128963,
54
+ "min": 0.06069366172442268,
55
+ "max": 0.07497782197827417,
56
+ "count": 80
57
+ },
58
+ "SnowballTarget.Losses.PolicyLoss.sum": {
59
+ "value": 0.2647673543251585,
60
+ "min": 0.2537285487541892,
61
+ "max": 0.3705939667027754,
62
+ "count": 80
63
+ },
64
+ "SnowballTarget.Losses.ValueLoss.mean": {
65
+ "value": 0.1689330839058932,
66
+ "min": 0.1388872119725919,
67
+ "max": 0.24017250216474717,
68
+ "count": 80
69
+ },
70
+ "SnowballTarget.Losses.ValueLoss.sum": {
71
+ "value": 0.6757323356235728,
72
+ "min": 0.5555488478903676,
73
+ "max": 1.1725973995292889,
74
+ "count": 80
75
+ },
76
+ "SnowballTarget.Policy.LearningRate.mean": {
77
+ "value": 1.4412995196000008e-06,
78
+ "min": 1.4412995196000008e-06,
79
+ "max": 0.0002383812205396,
80
+ "count": 80
81
+ },
82
+ "SnowballTarget.Policy.LearningRate.sum": {
83
+ "value": 5.765198078400003e-06,
84
+ "min": 5.765198078400003e-06,
85
+ "max": 0.001177056107648,
86
+ "count": 80
87
+ },
88
+ "SnowballTarget.Policy.Epsilon.mean": {
89
+ "value": 0.10048040000000001,
90
+ "min": 0.10048040000000001,
91
+ "max": 0.17946040000000002,
92
+ "count": 80
93
+ },
94
+ "SnowballTarget.Policy.Epsilon.sum": {
95
+ "value": 0.40192160000000005,
96
+ "min": 0.40192160000000005,
97
+ "max": 0.8923520000000001,
98
+ "count": 80
99
+ },
100
+ "SnowballTarget.Policy.Beta.mean": {
101
+ "value": 3.397196000000001e-05,
102
+ "min": 3.397196000000001e-05,
103
+ "max": 0.00397507396,
104
+ "count": 80
105
+ },
106
+ "SnowballTarget.Policy.Beta.sum": {
107
+ "value": 0.00013588784000000004,
108
+ "min": 0.00013588784000000004,
109
+ "max": 0.019628364800000003,
110
+ "count": 80
111
+ },
112
+ "SnowballTarget.Environment.EpisodeLength.mean": {
113
+ "value": 199.0,
114
+ "min": 199.0,
115
+ "max": 199.0,
116
+ "count": 80
117
+ },
118
+ "SnowballTarget.Environment.EpisodeLength.sum": {
119
+ "value": 8756.0,
120
+ "min": 8756.0,
121
+ "max": 10945.0,
122
+ "count": 80
123
+ },
124
+ "SnowballTarget.Environment.CumulativeReward.mean": {
125
+ "value": 27.613636363636363,
126
+ "min": 24.636363636363637,
127
+ "max": 27.945454545454545,
128
+ "count": 80
129
+ },
130
+ "SnowballTarget.Environment.CumulativeReward.sum": {
131
+ "value": 1215.0,
132
+ "min": 1094.0,
133
+ "max": 1537.0,
134
+ "count": 80
135
+ },
136
+ "SnowballTarget.Policy.ExtrinsicReward.mean": {
137
+ "value": 27.613636363636363,
138
+ "min": 24.636363636363637,
139
+ "max": 27.945454545454545,
140
+ "count": 80
141
+ },
142
+ "SnowballTarget.Policy.ExtrinsicReward.sum": {
143
+ "value": 1215.0,
144
+ "min": 1094.0,
145
+ "max": 1537.0,
146
+ "count": 80
147
+ }
148
+ },
149
+ "metadata": {
150
+ "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1771965495",
152
+ "python_version": "3.10.12 (main, Jan 26 2026, 14:55:28) [GCC 11.4.0]",
153
+ "command_line_arguments": "/kaggle/working/mlagents-env/bin/mlagents-learn /kaggle/working/ml-agents/config/ppo/SnowballTarget.yaml --env=/kaggle/working/training-envs-executables/SnowballTarget/SnowballTarget/SnowballTarget.x86_64 --run-id=SnowballTarget1 --no-graphics --resume",
154
+ "mlagents_version": "1.1.0",
155
+ "mlagents_envs_version": "1.1.0",
156
+ "communication_protocol_version": "1.5.0",
157
+ "pytorch_version": "2.0.1+cpu",
158
+ "numpy_version": "1.23.5",
159
+ "end_time_seconds": "1771966945"
160
+ },
161
+ "total": 1450.027796929,
162
+ "count": 1,
163
+ "self": 0.3221737439998833,
164
+ "children": {
165
+ "run_training.setup": {
166
+ "total": 0.01651180499993643,
167
+ "count": 1,
168
+ "self": 0.01651180499993643
169
+ },
170
+ "TrainerController.start_learning": {
171
+ "total": 1449.6891113800002,
172
+ "count": 1,
173
+ "self": 1.357187974061162,
174
+ "children": {
175
+ "TrainerController._reset_env": {
176
+ "total": 0.6131898730000103,
177
+ "count": 1,
178
+ "self": 0.6131898730000103
179
+ },
180
+ "TrainerController.advance": {
181
+ "total": 1447.6450636579384,
182
+ "count": 72792,
183
+ "self": 1.3677062019378354,
184
+ "children": {
185
+ "env_step": {
186
+ "total": 1015.8329502420947,
187
+ "count": 72792,
188
+ "self": 872.3113249719509,
189
+ "children": {
190
+ "SubprocessEnvManager._take_step": {
191
+ "total": 142.66619366815667,
192
+ "count": 72792,
193
+ "self": 4.486886113172659,
194
+ "children": {
195
+ "TorchPolicy.evaluate": {
196
+ "total": 138.179307554984,
197
+ "count": 72792,
198
+ "self": 138.179307554984
199
+ }
200
+ }
201
+ },
202
+ "workers": {
203
+ "total": 0.8554316019872203,
204
+ "count": 72792,
205
+ "self": 0.0,
206
+ "children": {
207
+ "worker_root": {
208
+ "total": 1446.8322269669934,
209
+ "count": 72792,
210
+ "is_parallel": true,
211
+ "self": 678.0437214750955,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.0,
215
+ "count": 0,
216
+ "is_parallel": true,
217
+ "self": 0.0,
218
+ "children": {
219
+ "steps_from_proto": {
220
+ "total": 0.0024183679997804575,
221
+ "count": 1,
222
+ "is_parallel": true,
223
+ "self": 0.0007359899982475326,
224
+ "children": {
225
+ "_process_rank_one_or_two_observation": {
226
+ "total": 0.0016823780015329248,
227
+ "count": 10,
228
+ "is_parallel": true,
229
+ "self": 0.0016823780015329248
230
+ }
231
+ }
232
+ },
233
+ "UnityEnvironment.step": {
234
+ "total": 0.02699791000031837,
235
+ "count": 1,
236
+ "is_parallel": true,
237
+ "self": 0.00035739400027523516,
238
+ "children": {
239
+ "UnityEnvironment._generate_step_input": {
240
+ "total": 0.00042642500011425,
241
+ "count": 1,
242
+ "is_parallel": true,
243
+ "self": 0.00042642500011425
244
+ },
245
+ "communicator.exchange": {
246
+ "total": 0.02483729600044171,
247
+ "count": 1,
248
+ "is_parallel": true,
249
+ "self": 0.02483729600044171
250
+ },
251
+ "steps_from_proto": {
252
+ "total": 0.0013767949994871742,
253
+ "count": 1,
254
+ "is_parallel": true,
255
+ "self": 0.00029327300126169575,
256
+ "children": {
257
+ "_process_rank_one_or_two_observation": {
258
+ "total": 0.0010835219982254785,
259
+ "count": 10,
260
+ "is_parallel": true,
261
+ "self": 0.0010835219982254785
262
+ }
263
+ }
264
+ }
265
+ }
266
+ }
267
+ }
268
+ },
269
+ "UnityEnvironment.step": {
270
+ "total": 768.7885054918979,
271
+ "count": 72791,
272
+ "is_parallel": true,
273
+ "self": 36.33827272714916,
274
+ "children": {
275
+ "UnityEnvironment._generate_step_input": {
276
+ "total": 20.0706446958784,
277
+ "count": 72791,
278
+ "is_parallel": true,
279
+ "self": 20.0706446958784
280
+ },
281
+ "communicator.exchange": {
282
+ "total": 592.0298332259263,
283
+ "count": 72791,
284
+ "is_parallel": true,
285
+ "self": 592.0298332259263
286
+ },
287
+ "steps_from_proto": {
288
+ "total": 120.3497548429441,
289
+ "count": 72791,
290
+ "is_parallel": true,
291
+ "self": 21.73427093882492,
292
+ "children": {
293
+ "_process_rank_one_or_two_observation": {
294
+ "total": 98.61548390411917,
295
+ "count": 727910,
296
+ "is_parallel": true,
297
+ "self": 98.61548390411917
298
+ }
299
+ }
300
+ }
301
+ }
302
+ }
303
+ }
304
+ }
305
+ }
306
+ }
307
+ }
308
+ },
309
+ "trainer_advance": {
310
+ "total": 430.44440721390583,
311
+ "count": 72792,
312
+ "self": 1.6056490339133234,
313
+ "children": {
314
+ "process_trajectory": {
315
+ "total": 82.97671695698682,
316
+ "count": 72792,
317
+ "self": 82.55159718098639,
318
+ "children": {
319
+ "RLTrainer._checkpoint": {
320
+ "total": 0.42511977600042883,
321
+ "count": 5,
322
+ "self": 0.42511977600042883
323
+ }
324
+ }
325
+ },
326
+ "_update_policy": {
327
+ "total": 345.8620412230057,
328
+ "count": 363,
329
+ "self": 146.92715134594528,
330
+ "children": {
331
+ "TorchPPOOptimizer.update": {
332
+ "total": 198.9348898770604,
333
+ "count": 18510,
334
+ "self": 198.9348898770604
335
+ }
336
+ }
337
+ }
338
+ }
339
+ }
340
+ }
341
+ },
342
+ "trainer_threads": {
343
+ "total": 1.0020003173849545e-06,
344
+ "count": 1,
345
+ "self": 1.0020003173849545e-06
346
+ },
347
+ "TrainerController._save_models": {
348
+ "total": 0.07366887300031522,
349
+ "count": 1,
350
+ "self": 0.0007980939999470138,
351
+ "children": {
352
+ "RLTrainer._checkpoint": {
353
+ "total": 0.0728707790003682,
354
+ "count": 1,
355
+ "self": 0.0728707790003682
356
+ }
357
+ }
358
+ }
359
+ }
360
+ }
361
+ }
362
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "stats_format_version": "0.3.0",
4
+ "mlagents_version": "1.1.0",
5
+ "torch_version": "2.0.1+cpu"
6
+ },
7
+ "SnowballTarget": {
8
+ "checkpoints": [
9
+ {
10
+ "steps": 399968,
11
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-399968.onnx",
12
+ "reward": 26.0,
13
+ "creation_time": 1771965859.882426,
14
+ "auxillary_file_paths": [
15
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-399968.pt"
16
+ ]
17
+ },
18
+ {
19
+ "steps": 599976,
20
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-599976.onnx",
21
+ "reward": 27.181818181818183,
22
+ "creation_time": 1771966220.182076,
23
+ "auxillary_file_paths": [
24
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-599976.pt"
25
+ ]
26
+ },
27
+ {
28
+ "steps": 799984,
29
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-799984.onnx",
30
+ "reward": 27.181818181818183,
31
+ "creation_time": 1771966582.6429114,
32
+ "auxillary_file_paths": [
33
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-799984.pt"
34
+ ]
35
+ },
36
+ {
37
+ "steps": 999992,
38
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-999992.onnx",
39
+ "reward": 28.636363636363637,
40
+ "creation_time": 1771966945.0186331,
41
+ "auxillary_file_paths": [
42
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-999992.pt"
43
+ ]
44
+ },
45
+ {
46
+ "steps": 1000696,
47
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-1000696.onnx",
48
+ "reward": 28.636363636363637,
49
+ "creation_time": 1771966945.149162,
50
+ "auxillary_file_paths": [
51
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-1000696.pt"
52
+ ]
53
+ }
54
+ ],
55
+ "final_checkpoint": {
56
+ "steps": 1000696,
57
+ "file_path": "results/SnowballTarget1/SnowballTarget.onnx",
58
+ "reward": 28.636363636363637,
59
+ "creation_time": 1771966945.149162,
60
+ "auxillary_file_paths": [
61
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-1000696.pt"
62
+ ]
63
+ }
64
+ }
65
+ }