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dqn-MsPacman-v5

Reinforcement Learning
stable-baselines3
TensorBoard
ALE/MsPacman-v5
deep-reinforcement-learning
Eval Results
Model card Files Metrics Community
alfredowh commited on
Commit
e66e7a0
·
1 Parent(s): be81626

batchsize 64

Browse files
Files changed (10) hide show
  1. README.md +2 -2
  2. args.yml +1 -1
  3. config.yml +1 -1
  4. dqn-ALE-MsPacman-v5.zip +1 -1
  5. dqn-ALE-MsPacman-v5/data +0 -0
  6. dqn-ALE-MsPacman-v5/policy.optimizer.pth +1 -1
  7. dqn-ALE-MsPacman-v5/policy.pth +1 -1
  8. replay.mp4 +2 -2
  9. results.json +1 -1
  10. train_eval_metrics.zip +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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  type: ALE/MsPacman-v5
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  metrics:
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  - type: mean_reward
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- value: 1048.00 +/- 238.91
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  name: mean_reward
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  verified: false
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  ---
@@ -62,7 +62,7 @@ python -m rl_zoo3.push_to_hub --algo dqn --env ALE/MsPacman-v5 -f logs/ -orga al
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  ## Hyperparameters
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  ```python
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- OrderedDict([('batch_size', 32),
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  ('buffer_size', 100000),
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  ('env_wrapper',
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  ['stable_baselines3.common.atari_wrappers.AtariWrapper']),
 
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  type: ALE/MsPacman-v5
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  metrics:
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  - type: mean_reward
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+ value: 1353.00 +/- 433.57
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  name: mean_reward
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  verified: false
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  ---
 
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  ## Hyperparameters
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  ```python
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+ OrderedDict([('batch_size', 64),
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  ('buffer_size', 100000),
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  ('env_wrapper',
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  ['stable_baselines3.common.atari_wrappers.AtariWrapper']),
args.yml CHANGED
@@ -54,7 +54,7 @@
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  - - storage
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  - - study_name
 
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  - - save_replay_buffer
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  - - seed
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  - - study_name
config.yml CHANGED
@@ -1,6 +1,6 @@
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  !!python/object/apply:collections.OrderedDict
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  - - - batch_size
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- - 32
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  - - buffer_size
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  - 100000
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  - - env_wrapper
 
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  !!python/object/apply:collections.OrderedDict
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  - - - batch_size
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+ - 64
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  - - buffer_size
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  - 100000
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  - - env_wrapper
dqn-ALE-MsPacman-v5.zip CHANGED
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dqn-ALE-MsPacman-v5/data CHANGED
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dqn-ALE-MsPacman-v5/policy.optimizer.pth CHANGED
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results.json CHANGED
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- {"mean_reward": 1048.0, "std_reward": 238.90583919192935, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2023-12-02T17:31:36.379761"}
 
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