Michael Luo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Diffusion Models

Top Venues

Publications

Michael Luo, Siyuan Zhuang, Suryaprakash Vengadesan, Romil Bhardwaj, Justin Chang, Eric J. Friedman, Scott Shenker, Ion Stoica
Starburst: A Cost-aware Scheduler for Hybrid Cloud. USENIX ATC (2024)
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
Stylus: Automatic Adapter Selection for Diffusion Models. CoRR (2024)
Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
SkyPilot: An Intercloud Broker for Sky Computing. NSDI (2023)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR (2022)
Yahav Avigal, Anna Deza, William Wong, Sebastian Oehme, Mark Presten, Mark Theis, Jackson Chui, Paul Shao, Huang Huang, Atsunobu Kotani, Satvik Sharma, Rishi Parikh, Michael Luo, Sandeep Mukherjee, Stefano Carpin, Joshua H. Viers, Stavros Vougioukas, Ken Goldberg
Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants. ICRA (2021)
Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. CoRR (2021)
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS (2021)
Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CASE (2021)
Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. CoRR (2021)
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR (2021)
Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. ICLR (2021)
Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg
Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. IEEE Robotics Autom. Lett. 6 (3) (2021)
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS (2021)
Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CoRR (2021)
Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones. CoRR (2020)
Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR (2020)
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica
Distributed Reinforcement Learning is a Dataflow Problem. CoRR (2020)
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR (2020)
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR (2019)
Mark Yaffe, Michael Luo, Nitin Goyal, Philip Chan, Anay Patel, Max Cayo, S. David Stulberg
Clinical, functional, and radiographic outcomes following total knee arthroplasty with patient-specific instrumentation, computer-assisted surgery, and manual instrumentation: a short-term follow-up study. Int. J. Comput. Assist. Radiol. Surg. 9 (5) (2014)