Richard Liaw

I'm a first year PhD student working with Professor Joseph Gonzalez, Ken Goldberg, and Ion Stoica on systems for reinforcement learning and AI. I've dabbled in deep reinforcement learning and currently am working on machine learning applications on top of Ray. I work closely with Eric Liang on Ray Tune, a distributed hyperparameter optimization framework, and Ray RLlib, a composable and scalable reinforcement learning library. You can find these projects here: ray.readthedocs.io/en/latest/rllib.html and ray.readthedocs.io/en/latest/tune.html
http://people.eecs.berkeley.edu/~rliaw/

Publications

Benchmarks for reinforcement learning in mixed-autonomy traffic

RLlib: Abstractions for Distributed Reinforcement Learning

Ray: A Distributed Framework for Emerging AI Applications

Real-Time Machine Learning: The Missing Pieces

Blog Posts

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