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Browse files- README.md +37 -0
- config.json +1 -0
- replay.mp4 +0 -0
- results.json +1 -0
- td3-PandaReachDense-v3.zip +3 -0
- td3-PandaReachDense-v3/_stable_baselines3_version +1 -0
- td3-PandaReachDense-v3/actor.optimizer.pth +3 -0
- td3-PandaReachDense-v3/critic.optimizer.pth +3 -0
- td3-PandaReachDense-v3/data +114 -0
- td3-PandaReachDense-v3/policy.pth +3 -0
- td3-PandaReachDense-v3/pytorch_variables.pth +3 -0
- td3-PandaReachDense-v3/system_info.txt +9 -0
- vec_normalize.pkl +3 -0
README.md
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---
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library_name: stable-baselines3
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tags:
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- PandaReachDense-v3
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: TD3
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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: PandaReachDense-v3
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type: PandaReachDense-v3
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metrics:
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- type: mean_reward
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value: -0.22 +/- 0.12
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name: mean_reward
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verified: false
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---
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# **TD3** Agent playing **PandaReachDense-v3**
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This is a trained model of a **TD3** agent playing **PandaReachDense-v3**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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```python
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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...
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```
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config.json
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td3-PandaReachDense-v3/policy.pth
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td3-PandaReachDense-v3/pytorch_variables.pth
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version https://git-lfs.github.com/spec/v1
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size 864
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ADDED
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- OS: Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024
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vec_normalize.pkl
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