A2c PandaReachDense v3
Modellquelle
- Art
- Other
- Dateigröße
- 1,23–47,8 KB
- Aktualisiert
- 26. Sept. 2026
- Verleger
- @Stilt34
Quellenauszug
Modellartefakte
3 Artefakte
Modellartefakte
3 Artefaktea2c-PandaReachDense-v3/policy.optimizer.pth
pth · 47,8 KB · SHA-256 61c54885b78f…2e29
a2c-PandaReachDense-v3/policy.pth
pth · 45,7 KB · SHA-256 dd75b0643842…b9bc
a2c-PandaReachDense-v3/pytorch_variables.pth
pth · 1,23 KB · SHA-256 07c7431cf600…308b
Quellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- library_name: stable-baselines3 tags: - PandaReachDense-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v3 type: PandaReachDense-v3 metrics: - type: mean_reward value: -0.23 +/- 0.11 name: mean_reward verified: false --- # **A2C** Agent playing **PandaReachDense-v3** This is a trained model of a **A2C** agent playing **PandaReachDense-v3** 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 ... ```
Source context: 0 downloads · 0 likes · Pipeline reinforcement-learning · Library stable-baselines3 · Repo Stilt34/a2c-PandaReachDense-v3
Source context: 0 downloads · 0 likes · Pipeline reinforcement-learning · Library stable-baselines3 · Repo Stilt34/a2c-PandaReachDense-v3
