Initial commit
Browse files- README.md +3 -3
- args.yml +6 -6
- config.yml +2 -2
- dqn-SpaceInvadersNoFrameskip-v4.zip +2 -2
- dqn-SpaceInvadersNoFrameskip-v4/data +0 -0
- dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth +1 -1
- dqn-SpaceInvadersNoFrameskip-v4/policy.pth +1 -1
- replay.mp4 +2 -2
- results.json +1 -1
- train_eval_metrics.zip +2 -2
README.md
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@@ -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:
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name: mean_reward
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verified: false
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---
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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',
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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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('optimize_memory_usage', False),
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('policy', 'CnnPolicy'),
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('target_update_interval', 1000),
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('train_freq',
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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: 162.00 +/- 97.52
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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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('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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args.yml
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- - conf_file
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- null
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- - device
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-
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- - env
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- SpaceInvadersNoFrameskip-v4
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- - env_kwargs
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- - max_total_trials
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- 10
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- - n_timesteps
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- - no_optim_plots
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- false
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- - save_replay_buffer
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- false
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- - seed
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- false
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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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- - max_total_trials
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- 1
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- 1
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- false
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- -1
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- ''
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- - track
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- false
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- - trained_agent
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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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- - buffer_size
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- 100000
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- - env_wrapper
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- - target_update_interval
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- 1000
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- - train_freq
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!!python/object/apply:collections.OrderedDict
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- 100000
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- - env_wrapper
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- - target_update_interval
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- 1000
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- - train_freq
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dqn-SpaceInvadersNoFrameskip-v4.zip
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dqn-SpaceInvadersNoFrameskip-v4/data
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dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth
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replay.mp4
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results.json
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{"mean_reward":
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train_eval_metrics.zip
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