Quentin Gallouédec commited on
Commit
162ea9f
1 Parent(s): 77b2bcf

Initial commit

Browse files
.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
32
  *.zip filter=lfs diff=lfs merge=lfs -text
33
  *.zst filter=lfs diff=lfs merge=lfs -text
34
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
32
  *.zip filter=lfs diff=lfs merge=lfs -text
33
  *.zst filter=lfs diff=lfs merge=lfs -text
34
  *tfevents* filter=lfs diff=lfs merge=lfs -text
35
+ *.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - BreakoutNoFrameskip-v4
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: A2C
10
+ results:
11
+ - task:
12
+ type: reinforcement-learning
13
+ name: reinforcement-learning
14
+ dataset:
15
+ name: BreakoutNoFrameskip-v4
16
+ type: BreakoutNoFrameskip-v4
17
+ metrics:
18
+ - type: mean_reward
19
+ value: 1.20 +/- 1.25
20
+ name: mean_reward
21
+ verified: false
22
+ ---
23
+
24
+ # **A2C** Agent playing **BreakoutNoFrameskip-v4**
25
+ This is a trained model of a **A2C** agent playing **BreakoutNoFrameskip-v4**
26
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
27
+ and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
28
+
29
+ The RL Zoo is a training framework for Stable Baselines3
30
+ reinforcement learning agents,
31
+ with hyperparameter optimization and pre-trained agents included.
32
+
33
+ ## Usage (with SB3 RL Zoo)
34
+
35
+ RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
36
+ SB3: https://github.com/DLR-RM/stable-baselines3<br/>
37
+ SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
38
+
39
+ Install the RL Zoo (with SB3 and SB3-Contrib):
40
+ ```bash
41
+ pip install rl_zoo3
42
+ ```
43
+
44
+ ```
45
+ # Download model and save it into the logs/ folder
46
+ python -m rl_zoo3.load_from_hub --algo a2c --env BreakoutNoFrameskip-v4 -orga qgallouedec -f logs/
47
+ python -m rl_zoo3.enjoy --algo a2c --env BreakoutNoFrameskip-v4 -f logs/
48
+ ```
49
+
50
+ If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
51
+ ```
52
+ python -m rl_zoo3.load_from_hub --algo a2c --env BreakoutNoFrameskip-v4 -orga qgallouedec -f logs/
53
+ python -m rl_zoo3.enjoy --algo a2c --env BreakoutNoFrameskip-v4 -f logs/
54
+ ```
55
+
56
+ ## Training (with the RL Zoo)
57
+ ```
58
+ python -m rl_zoo3.train --algo a2c --env BreakoutNoFrameskip-v4 -f logs/
59
+ # Upload the model and generate video (when possible)
60
+ python -m rl_zoo3.push_to_hub --algo a2c --env BreakoutNoFrameskip-v4 -f logs/ -orga qgallouedec
61
+ ```
62
+
63
+ ## Hyperparameters
64
+ ```python
65
+ OrderedDict([('ent_coef', 0.01),
66
+ ('env_wrapper',
67
+ ['stable_baselines3.common.atari_wrappers.AtariWrapper']),
68
+ ('frame_stack', 4),
69
+ ('n_envs', 32),
70
+ ('n_timesteps', 10000000.0),
71
+ ('policy', 'CnnPolicy'),
72
+ ('policy_kwargs',
73
+ 'dict(optimizer_class=RMSpropTFLike, '
74
+ 'optimizer_kwargs=dict(eps=1e-5))'),
75
+ ('vf_coef', 0.25),
76
+ ('normalize', False)])
77
+ ```
a2c-BreakoutNoFrameskip-v4.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba5e59728dda69c917352b8ad3e019c68b12bd55c156f4955f957d5c9e86521b
3
+ size 13677257
a2c-BreakoutNoFrameskip-v4/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 1.8.0a6
a2c-BreakoutNoFrameskip-v4/data ADDED
The diff for this file is too large to render. See raw diff
 
a2c-BreakoutNoFrameskip-v4/policy.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f19d6f6dac7f62911b069205491c34d3893a611d3a3f36861ee6e20d6e91ef0e
3
+ size 6750209
a2c-BreakoutNoFrameskip-v4/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2337fa8ce6f1132abad90a53fcf1016a5f6e6c03ab766046500617d565e15a2
3
+ size 6753729
a2c-BreakoutNoFrameskip-v4/pytorch_variables.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
3
+ size 431
a2c-BreakoutNoFrameskip-v4/system_info.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ - OS: Linux-5.19.0-32-generic-x86_64-with-glibc2.35 # 33~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Jan 30 17:03:34 UTC 2
2
+ - Python: 3.9.12
3
+ - Stable-Baselines3: 1.8.0a6
4
+ - PyTorch: 1.13.1+cu117
5
+ - GPU Enabled: True
6
+ - Numpy: 1.24.1
7
+ - Gym: 0.21.0
args.yml ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object/apply:collections.OrderedDict
2
+ - - - algo
3
+ - a2c
4
+ - - conf_file
5
+ - null
6
+ - - device
7
+ - auto
8
+ - - env
9
+ - BreakoutNoFrameskip-v4
10
+ - - env_kwargs
11
+ - null
12
+ - - eval_episodes
13
+ - 5
14
+ - - eval_freq
15
+ - 25000
16
+ - - gym_packages
17
+ - []
18
+ - - hyperparams
19
+ - null
20
+ - - log_folder
21
+ - logs
22
+ - - log_interval
23
+ - -1
24
+ - - max_total_trials
25
+ - null
26
+ - - n_eval_envs
27
+ - 1
28
+ - - n_evaluations
29
+ - null
30
+ - - n_jobs
31
+ - 1
32
+ - - n_startup_trials
33
+ - 10
34
+ - - n_timesteps
35
+ - 100000
36
+ - - n_trials
37
+ - 500
38
+ - - no_optim_plots
39
+ - false
40
+ - - num_threads
41
+ - -1
42
+ - - optimization_log_path
43
+ - null
44
+ - - optimize_hyperparameters
45
+ - false
46
+ - - progress
47
+ - false
48
+ - - pruner
49
+ - median
50
+ - - sampler
51
+ - tpe
52
+ - - save_freq
53
+ - -1
54
+ - - save_replay_buffer
55
+ - false
56
+ - - seed
57
+ - 22871317
58
+ - - storage
59
+ - null
60
+ - - study_name
61
+ - null
62
+ - - tensorboard_log
63
+ - ''
64
+ - - track
65
+ - false
66
+ - - trained_agent
67
+ - ''
68
+ - - truncate_last_trajectory
69
+ - true
70
+ - - use_envpool
71
+ - false
72
+ - - uuid
73
+ - false
74
+ - - vec_env
75
+ - dummy
76
+ - - verbose
77
+ - 1
78
+ - - wandb_entity
79
+ - null
80
+ - - wandb_project_name
81
+ - sb3
82
+ - - wandb_tags
83
+ - []
84
+ - - yaml_file
85
+ - null
config.yml ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object/apply:collections.OrderedDict
2
+ - - - ent_coef
3
+ - 0.01
4
+ - - env_wrapper
5
+ - - stable_baselines3.common.atari_wrappers.AtariWrapper
6
+ - - frame_stack
7
+ - 4
8
+ - - n_envs
9
+ - 32
10
+ - - n_timesteps
11
+ - 10000000.0
12
+ - - policy
13
+ - CnnPolicy
14
+ - - policy_kwargs
15
+ - dict(optimizer_class=RMSpropTFLike, optimizer_kwargs=dict(eps=1e-5))
16
+ - - vf_coef
17
+ - 0.25
env_kwargs.yml ADDED
@@ -0,0 +1 @@
 
 
1
+ {}
replay.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8492115219856c4d7d4e18a12947c02d2585d4aa261c2a740407df55edc83c41
3
+ size 66670
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 1.2, "std_reward": 1.2489995996796797, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2023-02-27T14:33:04.834798"}
train_eval_metrics.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f88e14c8903b425db8f6648b5237ba82631319089029ae842bab8e6097bd077
3
+ size 18074