# Reinforcement Learning (RL)

* MSRL: Distributed Reinforcement Learning with Dataflow Fragments ([ATC 2023](https://paper.lingyunyang.com/reading-notes/conference/atc-2023)) \[[Paper](https://www.usenix.org/conference/atc23/presentation/zhu-huanzhou)] \[[Code](https://github.com/mindspore-lab/mindrl)]
  * ICL & Huawei
  * Fragmented dataflow graph.
* Ray: A Distributed Framework for Emerging AI Applications ([OSDI 2018](https://paper.lingyunyang.com/reading-notes/conference/osdi-2018)) \[[Paper](https://www.usenix.org/conference/osdi18/presentation/moritz)] \[[Code](https://github.com/ray-project/ray)] \[[Homepage](https://www.ray.io/)]
  * UC Berkeley
  * RL framework