library_name: stable-baselines3 | |
tags: | |
- RoombaAToB-harcodemap-punish-stagnant-no-training | |
- deep-reinforcement-learning | |
- reinforcement-learning | |
- stable-baselines3 | |
model-index: | |
- name: BC | |
results: | |
- task: | |
type: reinforcement-learning | |
name: reinforcement-learning | |
dataset: | |
name: RoombaAToB-harcodemap-punish-stagnant-no-training | |
type: RoombaAToB-harcodemap-punish-stagnant-no-training | |
metrics: | |
- type: mean_reward | |
value: -96.44 +/- 0.00 | |
name: mean_reward | |
verified: false | |
# **BC** Agent playing **RoombaAToB-harcodemap-punish-stagnant-no-training** | |
This is a trained model of a **BC** agent playing **RoombaAToB-harcodemap-punish-stagnant-no-training** | |
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 | |
... | |
``` | |