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Push agent to the Hub

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  1. .gitattributes +1 -0
  2. README.md +44 -0
  3. logs/events.out.tfevents.1721682540.tf-notebook-0.332.0 +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - HealthGatheringSupreme-v1
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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: HealthGatheringSupreme-v1
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+ type: HealthGatheringSupreme-v1
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+ metrics:
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+ - type: mean_reward
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+ value: 104.68 +/- 66.04
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+ name: mean_reward
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+ verified: false
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+ ---
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+
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+ # PPO Agent Playing HealthGatheringSupreme-v1
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+
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+ This is a trained model of a PPO agent playing HealthGatheringSupreme-v1.
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+
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+ # Hyperparameters
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+ ```python
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+ {'env_id': 'HealthGatheringSupreme-v1'
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+ 'learning_rate': 0.001
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+ 'gamma': 0.99
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+ 'gae_lambda': 0.95
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+ 'clip_coef': 0.2
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+ 'total_timesteps': 1000000
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+ 'ent_coef': 0.001
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+ 'vf_coef': 0.5
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+ 'max_grad_norm': 4.0
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+ 'epsilon': 0
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+ 'num_minibatches': 2
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+ 'update_epochs': 1}
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+ ```
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+
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