guydebruyn
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Push agent to the Hub
Browse files- README.md +61 -0
- logs/events.out.tfevents.1695225740.63b6c1bde2ee.21622.0 +3 -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: -165.83 +/- 64.75
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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': 'ppo'
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'seed': 1
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'torch_deterministic': True
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'cuda': True
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'track': False
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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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'num_steps': 128
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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': 0.95
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'num_minibatches': 4
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'update_epochs': 4
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'norm_adv': True
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'clip_coef': 0.2
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'clip_vloss': True
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'ent_coef': 0.01
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'vf_coef': 0.5
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'max_grad_norm': 0.5
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'target_kl': None
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'repo_id': 'guydebruyn/ppo-CartPole-v2'
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'batch_size': 512
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'minibatch_size': 128}
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```
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logs/events.out.tfevents.1695225740.63b6c1bde2ee.21622.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdd56ca585c747a686e6600f980349c5ec51a36a4bab492977c2595896d621b8
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size 110092
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ba9eba95178b8c1eeff91f1866f65cb2c8b1c65ceedc704e4da139555fb0614
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size 42597
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replay.mp4
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Binary file (18.8 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -165.8313723333526, "std_reward": 64.74770909626463, "n_evaluation_episodes": 10, "eval_datetime": "2023-09-20T16:03:03.691818"}
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