Richard Liaw - RankMe

22 papers A* 3A 3C 1Misc 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent. CoRR Shiyi Cao, Dacheng Li, Fangzhou Zhao, Shuo Yuan, Sumanth Hegde, Connor Chen, Charlie Ruan, Tyler Griggs, Shu Liu, Eric Tang, Richard Liaw, Philipp Moritz, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2022	—	`conf`	ESCHER: expressive scheduling with ephemeral resources. SoCC Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
2022	A	`conf`	REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. RecSys Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond
2021	—	`conf`	Elastic Hyperparameter Tuning on the Cloud. SoCC Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez
2021	A	`conf`	RubberBand: cloud-based hyperparameter tuning. EuroSys Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
2020	J	`jnl`	HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
2020	A*	`conf`	IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
2019	—	`conf`	HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
2019	J	`jnl`	IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
2019	J	`jnl`	SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards. Int. J. Robotics Res. Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg
2018	Misc	`conf`	Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen
2018	A*	`conf`	RLlib: Abstractions for Distributed Reinforcement Learning. ICML Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2018	A*	`conf`	Ray: A Distributed Framework for Emerging AI Applications. OSDI Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
2018	J	`jnl`	Tune: A Research Platform for Distributed Model Selection and Training. CoRR Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica
2017	J	`jnl`	Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning. CoRR Richard Liaw, Sanjay Krishnan, Animesh Garg, Daniel Crankshaw, Joseph E. Gonzalez, Ken Goldberg
2017	J	`jnl`	Iterative Noise Injection for Scalable Imitation Learning. CoRR Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg
2017	J	`jnl`	Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
2017	J	`jnl`	Ray: A Distributed Framework for Emerging AI Applications. CoRR Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
2017	A	`conf`	Real-Time Machine Learning: The Missing Pieces. HotOS Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
2017	J	`jnl`	Real-Time Machine Learning: The Missing Pieces. CoRR Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
2016	J	`jnl`	HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards. CoRR Sanjay Krishnan, Animesh Garg, Richard Liaw, Lauren Miller, Florian T. Pokorny, Ken Goldberg
2016	C	`conf`	SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards. WAFR Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg