library_name: mbrl-lib | |
tags: | |
- mbrl-Hopper-v2 | |
- deep-reinforcement-learning | |
- reinforcement-learning | |
- mbrl-lib | |
model-index: | |
- name: OneDTransitionRewardModel w/ SACAgent | |
results: | |
- task: | |
type: reinforcement-learning | |
name: reinforcement-learning | |
dataset: | |
name: mbrl-Hopper-v2 | |
type: mbrl-Hopper-v2 | |
metrics: | |
- type: mean_reward | |
value: 87.70 +/- 1.10 | |
name: mean_reward | |
verified: false | |
# **OneDTransitionRewardModel w/ SACAgent** Agent playing **mbrl-Hopper-v2** | |
This is a trained model of a **OneDTransitionRewardModel w/ SACAgent** agent playing **mbrl-Hopper-v2** | |
using [MBRL-Lib](https://github.com/facebookresearch/mbrl-lib). | |
## Usage (with MBRL-Lib) | |
TODO: Add your code | |
```python | |
from mbrl import ... | |
... | |
``` | |