|
---
|
|
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: -0.24 +/- 0.15
|
|
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
|
|
|
|
...
|
|
```
|
|
|