Hu, Edward S.

12 publications

NeurIPS 2025 Real-World Reinforcement Learning of Active Perception Behaviors Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman

TMLR 2025 Reset-Free Reinforcement Learning with World Models Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu

CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

ICLR 2025 The Belief State Transformer Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford

ICLR 2025 The Value of Sensory Information to a Robot Arjun Krishna, Edward S. Hu, Dinesh Jayaraman

ICLR 2024 Privileged Sensing Scaffolds Reinforcement Learning Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman

ICLR 2023 Planning Goals for Exploration Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman

ICLR 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

ICLRW 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

CoRL 2022 Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun Huang, Edward S. Hu, Dinesh Jayaraman

ICLR 2019 Composing Complex Skills by Learning Transition Policies Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim

CoRL 2019 To Follow or Not to Follow: Selective Imitation Learning from Observations Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim