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README.md

@@ -1,6 +1,6 @@
 ---
 tags:
-- LunarLander-v2
+- LunarLander-v3
 - ppo
 - deep-reinforcement-learning
 - reinforcement-learning
@@ -13,39 +13,18 @@ model-index:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
-      name: LunarLander-v2
-      type: LunarLander-v2
+      name: LunarLander-v3
+      type: LunarLander-v3
     metrics:
     - type: mean_reward
-      value: 54.42 +/- 114.62
+      value: 0.19 +/- 1.18
       name: mean_reward
       verified: false
 ---
 
-  # PPO Agent Playing LunarLander-v2
+  # PPO Agent Playing LunarLander-v3
+
+  This is a trained model of a PPO agent playing LunarLander-v3.
 
-  This is a trained model of a PPO agent playing LunarLander-v2.
-    
   # Hyperparameters
-  ```python
-  {'batch_size': 512
-'learning_rate': 0.00025
-'gamma': 0.99
-'seed': 42
-'device': 'cuda'
-'ent_coef': 0.01
-'clip_coef': 0.2
-'clip_vloss': True
-'vf_coef': 0.5
-'max_grad_norm': 0.5
-'target_kl': None
-'num_envs': 4
-'num_steps': 128
-'anneal_lr': True
-'num_minibatches': 4
-'update_epochs': 4
-'norm_adv': True
-'gae_lambda': 0.95
-'env_id': 'LunarLander-v2'}
-  ```
   

logs/events.out.tfevents.1731705681.pixel-desktop.18175.0

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model.pt

@@ -1,3 +1,3 @@
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-oid sha256:be3cd01a6fc41e74024d884871d7ecd42e5f78c5b4d7a36646e26a52aae111a6
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 size 43026

results.json

@@ -1 +1 @@
-{"env_id": "LunarLander-v2", "mean_reward": 54.421640837474364, "std_reward": 114.62386509067649, "n_evaluation_episodes": 10, "eval_datetime": "2024-11-15T19:26:17.794294"}
+{"env_id": "LunarLander-v3", "mean_reward": 0.19003089068136497, "std_reward": 1.1796856304949255, "n_evaluation_episodes": 10, "eval_datetime": "2024-11-15T22:21:52.047267"}