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README.md

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+---
+tags:
+- CartPole-v1
+- ppo
+- deep-reinforcement-learning
+- reinforcement-learning
+- custom-implementation
+- deep-rl-course
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CartPole-v1
+      type: CartPole-v1
+    metrics:
+    - type: mean_reward
+      value: 500.00 +/- 0.00
+      name: mean_reward
+      verified: false
+---
+
+  # PPO Agent Playing CartPole-v1
+
+  This is a trained model of a PPO agent playing CartPole-v1.
+
+  # Hyperparameters
+  ```python
+  {'run_name': 'ppo_250k'
+'gym_id': 'CartPole-v1'
+'num_envs': 5
+'num_steps': 128
+'total_timesteps': 250000
+'seed': 1
+'learning_rate': 0.001
+'anneal_lr': True
+'torch_deterministic': True
+'cuda': True
+'capture_video': True
+'gae': True
+'gamma': 0.99
+'gae_lambda': 0.95
+'num_minibatches': 4
+'update_epochs': 4
+'norm_adv': True
+'clip_coef': 0.2
+'clip_vloss': True
+'ent_coef': 0.01
+'vf_coef': 0.5
+'max_grad_norm': 0.5
+'repo_id': 'jakelcoop/ppo-CartPole-v1'
+'env_id': 'CartPole-v1'
+'batch_size': 640
+'minibatch_size': 160}
+  ```
+  

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aac473b3b360f559a40f5bb8c5833bcc748ad2a36231d8a896c7d3964e4afaf3
+size 40037

results.json

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+{"env_id": "CartPole-v1", "mean_reward": 500.0, "std_reward": 0.0, "n_evaluation_episodes": 10, "eval_datetime": "2023-07-18T20:20:24.297222"}