|  | --- | 
					
						
						|  | library_name: stable-baselines3 | 
					
						
						|  | tags: | 
					
						
						|  | - PandaReachDense-v2 | 
					
						
						|  | - deep-reinforcement-learning | 
					
						
						|  | - reinforcement-learning | 
					
						
						|  | - stable-baselines3 | 
					
						
						|  | model-index: | 
					
						
						|  | - name: A2C | 
					
						
						|  | results: | 
					
						
						|  | - task: | 
					
						
						|  | type: reinforcement-learning | 
					
						
						|  | name: reinforcement-learning | 
					
						
						|  | dataset: | 
					
						
						|  | name: PandaReachDense-v2 | 
					
						
						|  | type: PandaReachDense-v2 | 
					
						
						|  | metrics: | 
					
						
						|  | - type: mean_reward | 
					
						
						|  | value: -2.72 +/- 0.75 | 
					
						
						|  | name: mean_reward | 
					
						
						|  | verified: false | 
					
						
						|  | --- | 
					
						
						|  |  | 
					
						
						|  | # **A2C** Agent playing **PandaReachDense-v2** | 
					
						
						|  | This is a trained model of a **A2C** agent playing **PandaReachDense-v2** | 
					
						
						|  | 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 | 
					
						
						|  |  | 
					
						
						|  | ... | 
					
						
						|  | ``` | 
					
						
						|  |  |