| | --- |
| | 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: -0.20 +/- 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 |
| | |
| | ... |
| | ``` |
| |
|
