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dqn-SpaceInvadersNoFrameskip-v4

Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results
Model card Files Community
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Files changed (10) hide show
  1. README.md +2 -2
  2. args.yml +1 -1
  3. config.yml +1 -1
  4. dqn-SpaceInvadersNoFrameskip-v4.zip +2 -2
  5. dqn-SpaceInvadersNoFrameskip-v4/data +0 -0
  6. dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth +1 -1
  7. dqn-SpaceInvadersNoFrameskip-v4/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: SpaceInvadersNoFrameskip-v4
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  metrics:
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  - type: mean_reward
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- value: 350.00 +/- 210.10
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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 SpaceInvadersNoFrameskip-v4 -f lo
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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: SpaceInvadersNoFrameskip-v4
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  metrics:
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  - type: mean_reward
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+ value: 235.50 +/- 111.66
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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
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  - - save_replay_buffer
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  - - seed
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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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  - - 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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  - - buffer_size
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results.json CHANGED
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- {"mean_reward": 350.0, "std_reward": 210.09521650908667, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2024-02-13T16:46:32.686097"}
 
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