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README.md

@@ -1,10 +1,29 @@
+---
+tags:
+- Hopper-v5
+- reinforcement-learning
+- decision-transformer
+- deep-reinforcement-learning
+- custom-implementation
+library_name: transformers
+---
 
-        # Decision Transformer for Hopper-v5
-        
-        This is a trained Decision Transformer model for the Hopper-v5 environment.
-        
-        ## Model Details
-        - Environment: Hopper-v5
-        - Model: Decision Transformer
-        - Training framework: PyTorch
-        
+# Decision Transformer for Hopper-v5
+
+This is a trained Decision Transformer model for the Hopper-v5 environment.
+
+## Model Details
+- Environment: Hopper-v5
+- Model: Decision Transformer
+- Training framework: PyTorch
+
+## Hyperparameters
+{
+  "max_ep_len": 1000,
+  "state_dim": 11,
+  "act_dim": 3,
+  "target_return": 3.6
+}
+
+## Video Preview
+The model demonstrates the hopping behavior learned through Decision Transformer training.

hyperparameters.json

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+{"env_id": "Hopper-v5", "max_ep_len": 1000, "state_dim": 11, "act_dim": 3, "target_return": 3.6, "state_mean": [1.3490015, -0.11208222, -0.5506444, -0.13188992, -0.00378754, 2.6071432, 0.02322114, -0.01626922, -0.06840388, -0.05183131, 0.04272673], "state_std": [0.15980862, 0.0446214, 0.14307782, 0.17629202, 0.5912333, 0.5899924, 1.5405099, 0.8152689, 2.0173461, 2.4107876, 5.8440027]}

results.json

@@ -1 +1 @@
-{"env_id": "Hopper-v5", "eval_datetime": "2025-01-20T19:19:20.081360"}
+{"env_id": "Hopper-v5", "eval_datetime": "2025-01-20T19:47:24.817410"}