Initial commit
Browse files- README.md +4 -4
- args.yml +1 -1
- config.yml +1 -1
- dqn-SpaceInvadersNoFrameskip-v4.zip +2 -2
- dqn-SpaceInvadersNoFrameskip-v4/data +0 -0
- dqn-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth +2 -2
- 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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@@ -10,7 +10,7 @@ model-index:
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results:
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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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task:
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type: reinforcement-learning
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@@ -37,7 +37,7 @@ SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
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```
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# Download model and save it into the logs/ folder
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-
python -m utils.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga
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python enjoy.py --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
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```
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@@ -45,7 +45,7 @@ python enjoy.py --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
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```
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python train.py --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 utils.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga
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```
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## Hyperparameters
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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',
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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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results:
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- metrics:
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- type: mean_reward
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+
value: 577.50 +/- 116.86
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name: mean_reward
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task:
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type: reinforcement-learning
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```
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# Download model and save it into the logs/ folder
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+
python -m utils.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga BekirTaha -f logs/
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python enjoy.py --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
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```
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```
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python train.py --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 utils.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga BekirTaha
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```
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## Hyperparameters
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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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args.yml
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- - save_replay_buffer
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- false
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- - seed
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-
-
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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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- 2591579120
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- - storage
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- null
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- - study_name
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config.yml
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- - learning_starts
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- 100000
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- - n_timesteps
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-
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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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- 1000000.0
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- - optimize_memory_usage
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- false
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- - policy
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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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dqn-SpaceInvadersNoFrameskip-v4/policy.pth
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replay.mp4
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results.json
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-
{"mean_reward":
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{"mean_reward": 577.5, "std_reward": 116.85995892520243, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2022-08-03T07:41:19.220815"}
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train_eval_metrics.zip
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