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bryanlimy authored Sep 1, 2019
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## [FOR.ai](https://for.ai) Reinforcement Learning Codebase [![status](http://joss.theoj.org/papers/a65da0f74f34be097b1c1189ae6abdc6/status.svg)](http://joss.theoj.org/papers/a65da0f74f34be097b1c1189ae6abdc6) [![Build Status](https://travis-ci.org/for-ai/rl.svg?branch=master)](https://travis-ci.org/for-ai/rl)[![](https://img.shields.io/badge/-documentation-blue)](https://rl-codebase.readthedocs.io/en/latest/)
## [FOR.ai](https://for.ai) Reinforcement Learning Codebase [![status](http://joss.theoj.org/papers/a65da0f74f34be097b1c1189ae6abdc6/status.svg)](http://joss.theoj.org/papers/a65da0f74f34be097b1c1189ae6abdc6) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3382968.svg)](https://doi.org/10.5281/zenodo.3382968) [![Build Status](https://travis-ci.org/for-ai/rl.svg?branch=master)](https://travis-ci.org/for-ai/rl) [![](https://img.shields.io/badge/-documentation-blue)](https://rl-codebase.readthedocs.io/en/latest/)
Modular codebase for reinforcement learning models training, testing and visualization.

**Contributors**: [Bryan M. Li](https://github.com/bryanlimy), [Alexander Cowen-Rivers](https://github.com/alexanderimanicowenrivers), [Piotr Kozakowski](https://github.com/koz4k), [David Tao](https://github.com/taodav), [Siddhartha Rao Kamalakara](https://github.com/srk97), [Nitarshan Rajkumar](https://github.com/nitarshan), [Hariharan Sezhiyan](https://github.com/hsezhiyan), [Sicong Huang](https://www.cs.toronto.edu/~huang/), [Aidan N. Gomez](https://github.com/aidangomez)
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