knight9114
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Push agent to the Hub
Browse files- README.md +57 -0
- logs/charts_SPS/events.out.tfevents.1723805973.0ae896124e08.2165.29 +3 -0
- logs/charts_learning-rate/events.out.tfevents.1723805973.0ae896124e08.2165.28 +3 -0
- logs/events.out.tfevents.1723805972.0ae896124e08.2165.27 +3 -0
- logs/losses_approx-kl/events.out.tfevents.1723805973.0ae896124e08.2165.34 +3 -0
- logs/losses_clip-fraction/events.out.tfevents.1723805973.0ae896124e08.2165.35 +3 -0
- logs/losses_entropy/events.out.tfevents.1723805973.0ae896124e08.2165.32 +3 -0
- logs/losses_explained-variance/events.out.tfevents.1723805973.0ae896124e08.2165.36 +3 -0
- logs/losses_old-approx-kl/events.out.tfevents.1723805973.0ae896124e08.2165.33 +3 -0
- logs/losses_policy-loss/events.out.tfevents.1723805973.0ae896124e08.2165.31 +3 -0
- logs/losses_value-loss/events.out.tfevents.1723805973.0ae896124e08.2165.30 +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: -134.81 +/- 132.27
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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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'raw_exp_version': None
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'n_hidden_layers': 1
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'd_hidden_layers': 64
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'env_id': 'LunarLander-v2'
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'n_envs': 4
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'total_timesteps': 1000000
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'batch_timesteps': 128
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'n_mini_batches': 4
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'n_epochs': 4
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'lr': 0.0003
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'alpha': 0.2
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'gamma': 0.99
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'lmbda': 0.95
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'normalize_advantages': True
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'coef_vf': 0.5
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'coef_s': 0.01
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'max_grad_norm': 1.0
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'seed': 2546260713
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'cuda': True
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'deterministic': True
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'repo_id': 'knight9114/ppo-LunarLander-v2-unit8.1'
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'batch_size': 512
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'mini_batch_size': 128
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'exp_version': 'version_13'}
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```
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logs/charts_SPS/events.out.tfevents.1723805973.0ae896124e08.2165.29
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logs/charts_learning-rate/events.out.tfevents.1723805973.0ae896124e08.2165.28
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logs/events.out.tfevents.1723805972.0ae896124e08.2165.27
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logs/losses_approx-kl/events.out.tfevents.1723805973.0ae896124e08.2165.34
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logs/losses_clip-fraction/events.out.tfevents.1723805973.0ae896124e08.2165.35
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logs/losses_entropy/events.out.tfevents.1723805973.0ae896124e08.2165.32
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logs/losses_explained-variance/events.out.tfevents.1723805973.0ae896124e08.2165.36
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logs/losses_old-approx-kl/events.out.tfevents.1723805973.0ae896124e08.2165.33
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logs/losses_policy-loss/events.out.tfevents.1723805973.0ae896124e08.2165.31
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logs/losses_value-loss/events.out.tfevents.1723805973.0ae896124e08.2165.30
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model.pt
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replay.mp4
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Binary file (206 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -134.81130809339462, "std_reward": 132.26597766629948, "n_evaluation_episodes": 10, "eval_datetime": "2024-08-16T11:28:08.296289"}
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