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Push agent to the Hub
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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: -69.74 +/- 103.80
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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': 300000
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'learning_rate': 0.0001
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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': 0.4
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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': 'gauthamk28/LunarLander-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.1679568628.w-arasa-rl-7-2a099dd6711d431c9149741d693c4240-759587bc76-h26q6.5672.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:18408ba4ec33338fda048525c2fe470e88cb22ec64c80aa3d66876cc514ca378
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size 523543
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eee5b398ae4d5d9b3dc9cbeddff7d0c77731710b1ee71e8d8e953b374c0b53e5
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size 42817
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replay.mp4
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Binary file (54.4 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -69.73738049970092, "std_reward": 103.79962225147497, "n_evaluation_episodes": 10, "eval_datetime": "2023-03-23T10:54:51.356181"}
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