<commit_before># Behavior Regularized Actor Critic for Offline Reinforcement Learning.

This codebase implements learning algorithms and experiments from [Behavior Regularized Offline Reinforcement Learning](https://openreview.net/forum?id=BJg9hTNKPH).


If you use this codebase for your research, please cite the paper:

```
@article{wu2019behavior,
  title={Behavior Regularized Offline Reinforcement Learning},
  author={<NAME> and <NAME> and <NAME>},
  year={2019}
}
```

## Features

*   Behavior regularized actor critic framework for continuous control environments.
*   Obtain partially trained policies by training online.
*   Customizable data collection.
*   Customizable offline algorithmic components: different divergence for regularization, value penalty of policy regularization, Q-ensemble.
*   Pretrained behavior and cloned policies used in the paper.


## Getting Started

The recommended way to set up these experiments is via a virtualenv.

```
sudo apt-get install python-pip<commit_msg>update paper link/info in readme<commit_after># Behavior Regularized Actor Critic for Offline Reinforcement Learning.

This codebase implements learning algorithms and experiments from [Behavior Regularized Offline Reinforcement Learning](https://arxiv.org/abs/1911.11361).


If you use this codebase for your research, please cite the paper:

```
@article{wu2019behavior,
  title={Behavior Regularized Offline Reinforcement Learning},
  author={<NAME> and <NAME> and <NAME>},
  journal={arXiv preprint arXiv:1911.11361},
  year={2019}
}
```

## Features

*   Behavior regularized actor critic framework for continuous control environments.
*   Obtain partially trained policies by training online.
*   Customizable data collection.
*   Customizable offline algorithmic components: different divergence for regularization, value penalty of policy regularization, Q-ensemble.
*   Pretrained behavior and cloned policies used in the paper.


## Getting Started

The recommended way to set up these experiments is via a virtualenv.

```
sudo apt-get install python-pip
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