albertqueralto
commited on
Commit
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Parent(s):
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Push agent to the Hub
Browse files- README.md +7 -7
- logs/events.out.tfevents.1676805884.ad1a63371cd3.20372.0 +3 -0
- model.pt +2 -2
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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---
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tags:
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- ppo
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- deep-reinforcement-learning
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- reinforcement-learning
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name:
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type:
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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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# PPO Agent Playing
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This is a trained model of a PPO agent playing
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# Hyperparameters
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```python
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'wandb_project_name': 'cleanRL'
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'wandb_entity': None
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'capture_video': False
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'env_id': '
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'total_timesteps': 50000
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'learning_rate': 0.00025
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'num_envs': 4
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---
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tags:
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- LunarLander-v2
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- ppo
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- deep-reinforcement-learning
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- reinforcement-learning
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: LunarLander-v2
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: -147.02 +/- 83.53
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name: mean_reward
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verified: false
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---
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# PPO Agent Playing LunarLander-v2
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This is a trained model of a PPO agent playing LunarLander-v2.
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# Hyperparameters
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```python
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'wandb_project_name': 'cleanRL'
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'wandb_entity': None
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'capture_video': False
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'env_id': 'LunarLander-v2'
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'total_timesteps': 50000
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'learning_rate': 0.00025
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'num_envs': 4
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logs/events.out.tfevents.1676805884.ad1a63371cd3.20372.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9ed49f15965a70e8bf01bb0f84ed680dfda5118d3463c617f1ea1afbca3070b
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size 111706
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cd0ac613a3793f26156783acd591c2a308e94a91d78575d5ceabd812fab4370
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size 42469
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replay.mp4
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results.json
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{"env_id": "
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{"env_id": "LunarLander-v2", "mean_reward": -147.02385699881663, "std_reward": 83.52639839101187, "n_evaluation_episodes": 10, "eval_datetime": "2023-02-19T11:25:17.133887"}
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