trained model for HalfCheetah-v4 using DDPG

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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DDPG-HalfCheetah-v4/_stable_baselines3_version

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+    },
+    "actor_batch_norm_stats": [],
+    "critic_batch_norm_stats": [],
+    "actor_batch_norm_stats_target": [],
+    "critic_batch_norm_stats_target": []
+}

DDPG-HalfCheetah-v4/policy.pth

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+size 322638

DDPG-HalfCheetah-v4/pytorch_variables.pth

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+oid sha256:ebdad4b9cfe9cd22a3abadb5623bf7bb1f6eb2e408740245eb3f2044b0adc018
+size 864

DDPG-HalfCheetah-v4/system_info.txt

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+- OS: macOS-14.5-arm64-arm-64bit Darwin Kernel Version 23.5.0: Wed May  1 20:19:05 PDT 2024; root:xnu-10063.121.3~5/RELEASE_ARM64_T8112
+- Python: 3.9.6
+- Stable-Baselines3: 2.3.2
+- PyTorch: 2.3.0
+- GPU Enabled: False
+- Numpy: 1.26.4
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.29.1

README.md

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+---
+library_name: stable-baselines3
+tags:
+- HalfCheetah-v4
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DDPG
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: HalfCheetah-v4
+      type: HalfCheetah-v4
+    metrics:
+    - type: mean_reward
+      value: 9140.96 +/- 218.23
+      name: mean_reward
+      verified: false
+---
+
+# **DDPG** Agent playing **HalfCheetah-v4**
+This is a trained model of a **DDPG** agent playing **HalfCheetah-v4**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

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replay.mp4

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+oid sha256:1a1caaf06640ccf12c04b3077e96399ae07c4b685e690684cd26f4ec19390bd7
+size 1418453

results.json

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+{"mean_reward": 9140.964570245333, "std_reward": 218.2285546836008, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-10T16:33:10.114156"}