Liang, Eric

6 publications

NeurIPS 2021 RLlib Flow: Distributed Reinforcement Learning Is a Dataflow Problem Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E Gonzalez, Ion Stoica

ICLR 2020 IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica

ICML 2020 Variable Skipping for Autoregressive Range Density Estimation Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Peter Chen

ICML 2019 Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel

CoRL 2018 Benchmarks for Reinforcement Learning in Mixed-Autonomy Traffic Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen

ICML 2018 RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael Jordan, Ion Stoica