wooii commited on
Commit
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1 Parent(s): a1b424a

Initial commit

Browse files
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: 91.00 +/- 71.02
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  name: mean_reward
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  verified: false
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  ---
@@ -63,7 +63,7 @@ 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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  ('exploration_final_eps', 0.01),
@@ -71,9 +71,9 @@ 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', 200000.0),
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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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  type: SpaceInvadersNoFrameskip-v4
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  metrics:
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  - type: mean_reward
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+ value: 587.00 +/- 118.37
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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', 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),
 
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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', 10000000.0),
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+ ('optimize_memory_usage', True),
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  ('policy', 'CnnPolicy'),
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  ('target_update_interval', 1000),
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  ('train_freq', 4),
args.yml CHANGED
@@ -1,32 +1,24 @@
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  !!python/object/apply:collections.OrderedDict
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  - - - algo
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  - dqn
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- - - conf_file
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- - dqn.yml
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- - - device
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- - auto
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  - - env
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  - SpaceInvadersNoFrameskip-v4
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  - - env_kwargs
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  - null
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  - - eval_episodes
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- - 5
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  - - eval_freq
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- - 25000
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  - - gym_packages
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  - []
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  - - hyperparams
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  - null
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  - - log_folder
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- - logs/
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  - - log_interval
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  - -1
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- - - max_total_trials
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- - null
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- - - n_eval_envs
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- - 1
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  - - n_evaluations
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- - null
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  - - n_jobs
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  - 1
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  - - n_startup_trials
@@ -34,17 +26,11 @@
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  - - n_timesteps
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  - -1
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  - - n_trials
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- - 500
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- - - no_optim_plots
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- - false
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  - - num_threads
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  - -1
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- - - optimization_log_path
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- - null
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  - - optimize_hyperparameters
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  - false
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- - - progress
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- - false
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  - - pruner
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  - median
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  - - sampler
@@ -54,28 +40,20 @@
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  - - save_replay_buffer
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  - false
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  - - seed
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- - 2546880517
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  - - storage
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  - null
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  - - study_name
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  - null
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  - - tensorboard_log
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  - ''
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- - - track
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- - false
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  - - trained_agent
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  - ''
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  - - truncate_last_trajectory
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  - true
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  - - uuid
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- - false
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  - - vec_env
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  - dummy
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  - - verbose
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  - 1
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- - - wandb_entity
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- - null
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- - - wandb_project_name
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- - sb3
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- - - wandb_tags
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- - []
 
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  !!python/object/apply:collections.OrderedDict
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  - - - algo
3
  - dqn
 
 
 
 
4
  - - env
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  - SpaceInvadersNoFrameskip-v4
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  - - env_kwargs
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  - null
8
  - - eval_episodes
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+ - 10
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  - - eval_freq
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+ - 10000
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  - - gym_packages
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  - []
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  - - hyperparams
15
  - null
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  - - log_folder
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+ - rl-trained-agents/
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  - - log_interval
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  - -1
 
 
 
 
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  - - n_evaluations
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+ - 20
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  - - n_jobs
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  - 1
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  - - n_startup_trials
 
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  - - n_timesteps
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  - -1
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  - - n_trials
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+ - 10
 
 
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  - - num_threads
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  - -1
 
 
32
  - - optimize_hyperparameters
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  - false
 
 
34
  - - pruner
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  - median
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  - - sampler
 
40
  - - save_replay_buffer
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  - false
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  - - seed
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+ - 234163638
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  - - storage
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  - null
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  - - study_name
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  - null
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  - - tensorboard_log
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  - ''
 
 
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  - - trained_agent
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  - ''
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  - - truncate_last_trajectory
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  - true
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  - - uuid
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+ - true
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  - - vec_env
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  - dummy
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  - - verbose
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  - 1
 
 
 
 
 
 
config.yml CHANGED
@@ -2,7 +2,7 @@
2
  - - - batch_size
3
  - 32
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  - - buffer_size
5
- - 100000
6
  - - env_wrapper
7
  - - stable_baselines3.common.atari_wrappers.AtariWrapper
8
  - - exploration_final_eps
@@ -16,11 +16,11 @@
16
  - - learning_rate
17
  - 0.0001
18
  - - learning_starts
19
- - 10000
20
  - - n_timesteps
21
- - 200000.0
22
  - - optimize_memory_usage
23
- - false
24
  - - policy
25
  - CnnPolicy
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  - - target_update_interval
 
2
  - - - batch_size
3
  - 32
4
  - - buffer_size
5
+ - 10000
6
  - - env_wrapper
7
  - - stable_baselines3.common.atari_wrappers.AtariWrapper
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  - - exploration_final_eps
 
16
  - - learning_rate
17
  - 0.0001
18
  - - learning_starts
19
+ - 100000
20
  - - n_timesteps
21
+ - 10000000.0
22
  - - optimize_memory_usage
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+ - true
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  - - policy
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  - CnnPolicy
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  - - target_update_interval
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results.json CHANGED
@@ -1 +1 @@
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- {"mean_reward": 91.0, "std_reward": 71.02112361825881, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2023-09-17T07:34:21.468175"}
 
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