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Richard Liaw

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks

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Jan 23, 2020
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HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

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Jan 08, 2020
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Ray: A Distributed Framework for Emerging AI Applications

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Sep 30, 2018
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Tune: A Research Platform for Distributed Model Selection and Training

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Jul 13, 2018
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RLlib: Abstractions for Distributed Reinforcement Learning

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Jun 29, 2018
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Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning

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Nov 04, 2017
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Real-Time Machine Learning: The Missing Pieces

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May 19, 2017
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HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards

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Apr 21, 2016
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