README.md

---
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 ...
...
```