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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: 243.50 +/- 57.01
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  name: mean_reward
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  verified: false
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  ---
@@ -64,7 +64,7 @@ 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', 10000),
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  ('env_wrapper',
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  ['stable_baselines3.common.atari_wrappers.AtariWrapper']),
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  ('exploration_final_eps', 0.01),
@@ -72,11 +72,11 @@ OrderedDict([('batch_size', 32),
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  ('frame_stack', 4),
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  ('gradient_steps', 1),
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  ('learning_rate', 0.0001),
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- ('learning_starts', 10000),
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- ('n_timesteps', 100000.0),
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  ('optimize_memory_usage', False),
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  ('policy', 'CnnPolicy'),
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- ('target_update_interval', 100),
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  ('train_freq', 4),
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  ('normalize', False)])
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  ```
 
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  type: SpaceInvadersNoFrameskip-v4
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  metrics:
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  - type: mean_reward
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+ value: 626.50 +/- 243.39
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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', 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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  ('exploration_final_eps', 0.01),
 
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  ('frame_stack', 4),
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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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  ('train_freq', 4),
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  ('normalize', False)])
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  ```
args.yml CHANGED
@@ -56,7 +56,7 @@
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  - - save_replay_buffer
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  - false
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  - - seed
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- - 183866112
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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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+ - 3928331250
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  - - storage
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  - null
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config.yml CHANGED
@@ -2,7 +2,7 @@
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  - - - batch_size
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  - 32
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  - - buffer_size
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- - 10000
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  - - env_wrapper
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  - - stable_baselines3.common.atari_wrappers.AtariWrapper
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  - - exploration_final_eps
@@ -16,14 +16,14 @@
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  - - learning_rate
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  - 0.0001
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  - - learning_starts
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- - 10000
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  - - n_timesteps
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- - 100000.0
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  - - optimize_memory_usage
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  - false
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  - - policy
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  - CnnPolicy
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  - - target_update_interval
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- - 100
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  - - train_freq
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  - 4
 
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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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  - - stable_baselines3.common.atari_wrappers.AtariWrapper
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  - - exploration_final_eps
 
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  - - learning_rate
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  - 0.0001
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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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  - CnnPolicy
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  - - target_update_interval
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+ - 1000
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  - - train_freq
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  - 4
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results.json CHANGED
@@ -1 +1 @@
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