Concepedia

Richard Liaw

RL

15

Publications

1.8K

Citations

14

H-Index

2016

Active since

Affiliations

University of California, Berkeley(Current)

Berkeley College

Georgia Institute of Technology

Richard Liaw is an author at University of California, Berkeley specializing in engineering, computer science, and machine learning.

Top concepts

EngineeringComputer ScienceArtificial IntelligenceMachine LearningParallel ComputingComputer EngineeringParallel ProgrammingData ScienceDeep LearningRobot Learning

Publications per year

2016–2021

15

Publications

15

Tune: A Research Platform for Distributed Model Selection and Training

Richard Liaw, Eric Liang, Robert Nishihara et al. · arXiv (Cornell University) · 2018 · 613 citations · Full text

Artificial Intelligence, Cluster Computing, Engineering +24

RLlib: Abstractions for Distributed Reinforcement Learning

Eric Liang, Richard Liaw, Philipp Moritz et al. · arXiv (Cornell University) · 2017 · 328 citations · Full text

Artificial Intelligence, Deep Nesting, Distributed Reinforcement Learning +11

Ray: A Distributed Framework for Emerging AI Applications

Philipp Moritz, Robert Nishihara, Stephanie Wang et al. · arXiv (Cornell University) · 2017 · 253 citations · Full text

Artificial Intelligence, Ai Applications, Next Generation +15

RLlib: Abstractions for Distributed Reinforcement Learning

Eric Liang, Richard Liaw, Robert Nishihara et al. · International Conference on Machine Learning · 2018 · 191 citations

Artificial Intelligence, Distributed Reinforcement Learning, Engineering +4

Ray RLLib: A Composable and Scalable Reinforcement Learning Library

Eric Liang, Richard Liaw, Robert Nishihara et al. · arXiv (Cornell University) · 2017 · 109 citations · Full text

Artificial Intelligence, Deep Nesting, Engineering +11

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