Richard Liaw

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Top Venues

Publications

Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond
REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. RecSys (2022)
Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
ESCHER: expressive scheduling with ephemeral resources. SoCC (2022)
Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
RubberBand: cloud-based hyperparameter tuning. EuroSys (2021)
Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez
Elastic Hyperparameter Tuning on the Cloud. SoCC (2021)
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR (2020)
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR (2020)
Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg
SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards. Int. J. Robotics Res. 38 (2-3) (2019)
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC (2019)
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR (2019)
Yitian Zou, Ion Stoica, Joseph E. Gonzalez, Romil Bhardwaj, Lisa Dunlap, Richard Liaw, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC (2019)
Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen
Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL (2018)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. OSDI (2018)
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
RLlib: Abstractions for Distributed Reinforcement Learning. ICML (2018)
Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica
Tune: A Research Platform for Distributed Model Selection and Training. CoRR (2018)
Richard Liaw, Sanjay Krishnan, Animesh Garg, Daniel Crankshaw, Joseph E. Gonzalez, Ken Goldberg
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning. CoRR (2017)
Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg
Iterative Noise Injection for Scalable Imitation Learning. CoRR (2017)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. HotOS (2017)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. CoRR (2017)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. CoRR (2017)
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR (2017)
Sanjay Krishnan, Animesh Garg, Richard Liaw, Lauren Miller, Florian T. Pokorny, Ken Goldberg
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards. CoRR (2016)
Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg
SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards. WAFR (2016)