Initial commit
Browse files- .gitattributes +1 -0
- README.md +86 -0
- args.yml +81 -0
- config.yml +29 -0
- dqn-SpaceInvadersNoFrameskip-v4.zip +3 -0
- dqn-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version +1 -0
- dqn-SpaceInvadersNoFrameskip-v4/data +0 -0
- dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth +3 -0
- dqn-SpaceInvadersNoFrameskip-v4/policy.pth +3 -0
- dqn-SpaceInvadersNoFrameskip-v4/pytorch_variables.pth +3 -0
- dqn-SpaceInvadersNoFrameskip-v4/system_info.txt +9 -0
- env_kwargs.yml +1 -0
- replay.mp4 +3 -0
- results.json +1 -0
- train_eval_metrics.zip +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: stable-baselines3
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tags:
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- SpaceInvadersNoFrameskip-v4
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: DQN
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: SpaceInvadersNoFrameskip-v4
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type: SpaceInvadersNoFrameskip-v4
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metrics:
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- type: mean_reward
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value: 529.50 +/- 216.07
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name: mean_reward
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verified: false
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---
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# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
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This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
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and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
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The RL Zoo is a training framework for Stable Baselines3
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reinforcement learning agents,
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with hyperparameter optimization and pre-trained agents included.
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## Usage (with SB3 RL Zoo)
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RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
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SB3: https://github.com/DLR-RM/stable-baselines3<br/>
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SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
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Install the RL Zoo (with SB3 and SB3-Contrib):
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```bash
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pip install rl_zoo3
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```
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```
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# Download model and save it into the logs/ folder
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python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga jrad98 -f logs/
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python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
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```
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If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
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```
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python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga jrad98 -f logs/
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python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
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```
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## Training (with the RL Zoo)
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```
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python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
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# Upload the model and generate video (when possible)
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python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga jrad98
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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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('exploration_fraction', 0.1),
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('frame_stack', 4),
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('gradient_steps', 1),
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('learning_rate', 0.0002),
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('learning_starts', 100000),
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('n_timesteps', 500000.0),
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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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```
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# Environment Arguments
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```python
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{'render_mode': 'rgb_array'}
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```
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args.yml
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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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- /content/config/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
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- 10
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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
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- tpe
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- - save_freq
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- -1
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- - save_replay_buffer
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- false
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- - seed
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- 2881223768
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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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config.yml
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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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- - stable_baselines3.common.atari_wrappers.AtariWrapper
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8 |
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- - exploration_final_eps
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- 0.01
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+
- - exploration_fraction
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- 0.1
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+
- - frame_stack
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- 4
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- - gradient_steps
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- 1
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- - learning_rate
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- 0.0002
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- - learning_starts
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- 100000
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- - n_timesteps
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- 500000.0
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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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dqn-SpaceInvadersNoFrameskip-v4.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d8da2701602ddd3013f19b83f2549c070ba6777f286d24d560945b3f5b2255a
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size 27220115
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dqn-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version
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2.2.0
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dqn-SpaceInvadersNoFrameskip-v4/data
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See raw diff
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dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb4d31bee2886b040be2baf1d891eddbe42223acb7a59b379059b102337bd64c
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size 13506236
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dqn-SpaceInvadersNoFrameskip-v4/policy.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4e18d30939b5168a66722ef74657c0ab1b32b9104acb51072b9ececd14ad32a
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size 13505370
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dqn-SpaceInvadersNoFrameskip-v4/pytorch_variables.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
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size 864
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dqn-SpaceInvadersNoFrameskip-v4/system_info.txt
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- OS: Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023
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- Python: 3.10.12
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- Stable-Baselines3: 2.2.0
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- PyTorch: 2.1.0+cu118
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- GPU Enabled: True
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- Numpy: 1.23.5
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- Cloudpickle: 2.2.1
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- Gymnasium: 0.29.1
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- OpenAI Gym: 0.26.2
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env_kwargs.yml
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render_mode: rgb_array
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0df506862cc1fc400fcae57ca13bc8a320b4c62cc7aa4e7a31c9110bf5f3322
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size 269514
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results.json
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{"mean_reward": 529.5, "std_reward": 216.07232585409915, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2023-11-17T12:22:26.524996"}
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train_eval_metrics.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:9026b6d9f2d0eee4ec2e2e81db584f33b8470a1a8acfdb0bac4f81d43a8fa1c6
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size 20494
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