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DQN SpaceInvaders.zip ADDED
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DQN SpaceInvaders/_stable_baselines3_version ADDED
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+ 2.3.2
DQN SpaceInvaders/data ADDED
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DQN SpaceInvaders/policy.optimizer.pth ADDED
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DQN SpaceInvaders/policy.pth ADDED
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DQN SpaceInvaders/pytorch_variables.pth ADDED
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DQN SpaceInvaders/system_info.txt ADDED
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+ - OS: Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024
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+ - Python: 3.10.12
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+ - Stable-Baselines3: 2.3.2
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+ - PyTorch: 2.2.1+cu121
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+ - GPU Enabled: False
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+ - Numpy: 1.25.2
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+ - Cloudpickle: 2.2.1
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+ - Gymnasium: 0.29.1
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+ - OpenAI Gym: 0.25.2
README.md ADDED
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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: 258.50 +/- 169.00
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+ name: mean_reward
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+ verified: false
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+ ---
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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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+
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+ ## Usage (with Stable-baselines3)
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+ TODO: Add your code
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+
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+
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+ ```python
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+ from stable_baselines3 import ...
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+ from huggingface_sb3 import load_from_hub
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+
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+ ...
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+ ```
config.json ADDED
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replay.mp4 ADDED
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results.json ADDED
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+ {"mean_reward": 258.5, "std_reward": 168.9977810505215, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2024-05-18T01:02:39.398421"}