Push agent to the Hub
Browse files- README.md +58 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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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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- custom-implementation
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- deep-rl-course
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model-index:
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- name: PPO
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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: 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: 277.79 +/- 24.31
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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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{'exp_name': 'main'
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'gym_id': 'LunarLander-v2'
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'lr': 0.004234982547109355
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'seed': 1
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'total_timesteps': 5000000
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'torch_deterministic': True
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'cuda': True
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'num_envs': 32
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'num_steps': 256
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'anneal_lr': True
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'gae': True
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'gamma': 0.99
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'gae_lambda': 0.8
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'num_minibatches': 128
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'update_epochs': 20
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'norm_adv': False
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'clip_coef': 0.1
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'vl_clip': True
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'ent_coef': 0.00023233247122755093
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'vf_coef': 0.6401567434560633
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'max_grad_norm': 0.3
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'target_kl': 0.012736232712398961
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'batch_size': 8192
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'minibatch_size': 64
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'repo_id': 'Statos6/ppo-cleanRL-LunarLander-v2'
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'env_id': 'LunarLander-v2'}
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```
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fed2e189c53895fe20c3f4657c42a53131de15a1111573eacbbe1c03d9fd0b09
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size 43026
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replay.mp4
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Binary file (46.6 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 277.79002583450625, "std_reward": 24.308588953372176, "n_evaluation_episodes": 10, "eval_datetime": "2024-03-23T14:00:34.705356"}
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