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SpaceInvadersNoFrameskip-v4

Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Model card Files
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Community
khaled5321 commited on
Commit
2487d06
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1 Parent(s): 1b5a340

Initial commit

Browse files
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 +1 -1
  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: 483.50 +/- 164.89
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  name: mean_reward
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  verified: false
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  ---
@@ -67,7 +67,7 @@ OrderedDict([('batch_size', 32),
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  ('gradient_steps', 1),
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  ('learning_rate', 0.0001),
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  ('learning_starts', 100000),
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- ('n_timesteps', 1000000.0),
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  ('optimize_memory_usage', False),
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  ('policy', 'CnnPolicy'),
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  ('target_update_interval', 1000),
 
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  type: SpaceInvadersNoFrameskip-v4
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  metrics:
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  - type: mean_reward
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+ value: 544.00 +/- 108.42
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  name: mean_reward
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  verified: false
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  ---
 
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  ('gradient_steps', 1),
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  ('learning_rate', 0.0001),
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  ('learning_starts', 100000),
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+ ('n_timesteps', 2000000.0),
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  ('optimize_memory_usage', False),
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  ('policy', 'CnnPolicy'),
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  ('target_update_interval', 1000),
args.yml CHANGED
@@ -54,7 +54,7 @@
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  - - save_replay_buffer
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  - false
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  - - seed
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  - - storage
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  - null
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  - - study_name
 
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  - - save_replay_buffer
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  - false
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  - - seed
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  - null
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  - - study_name
config.yml CHANGED
@@ -18,7 +18,7 @@
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  - - learning_starts
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  - 100000
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  - - n_timesteps
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- - 1000000.0
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  - - optimize_memory_usage
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  - false
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  - - policy
 
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  - - learning_starts
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  - 100000
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  - - n_timesteps
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+ - 2000000.0
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  - - optimize_memory_usage
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  - false
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  - - policy
dqn-SpaceInvadersNoFrameskip-v4.zip CHANGED
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dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth CHANGED
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results.json CHANGED
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- {"mean_reward": 483.5, "std_reward": 164.89466334602827, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2022-12-28T12:42:22.522444"}
 
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