Edward S. Hu

22 papers A* 6Misc 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Guiding Skill Discovery with Foundation Models.
CoRR
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Vincent François-Lavet, Edward S. Hu
2025 J jnl
Next-Latent Prediction Transformers Learn Compact World Models.
CoRR
Jayden Teoh, Manan Tomar, Kwangjun Ahn, Edward S. Hu, Pratyusha Sharma, Riashat Islam, Alex Lamb, John Langford
2025 J jnl
Real-World Reinforcement Learning of Active Perception Behaviors.
CoRR
Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman
2025 J jnl
Reset-free Reinforcement Learning with World Models.
Trans. Mach. Learn. Res.
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
2025 J jnl
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies.
CoRR
Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward S. Hu, Fabio Ramos, Jonathan Tremblay, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, Xingfang Yuan, Xuning Yang, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine
2025 A* conf
The Belief State Transformer.
ICLR
Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2025 A* conf
The Value of Sensory Information to a Robot.
ICLR
Arjun Krishna, Edward S. Hu, Dinesh Jayaraman
2024 J jnl
Learning to Achieve Goals with Belief State Transformers.
CoRR
Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2024 A* conf
Privileged Sensing Scaffolds Reinforcement Learning.
ICLR
Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
2024 J jnl
Privileged Sensing Scaffolds Reinforcement Learning.
CoRR
Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
2024 J jnl
World Models Increase Autonomy in Reinforcement Learning.
CoRR
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
2023 A* conf
Planning Goals for Exploration.
ICLR
Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2023 J jnl
Planning Goals for Exploration.
CoRR
Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2022 A* conf
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness.
ICLR
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
2022 Misc conf
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning.
CoRL
Kun Huang, Edward S. Hu, Dinesh Jayaraman
2022 J jnl
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning.
CoRR
Kun Huang, Edward S. Hu, Dinesh Jayaraman
2021 A* conf
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.
ICRA
Youngwoon Lee, Edward S. Hu, Joseph J. Lim
2021 J jnl
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness.
CoRR
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
2019 — conf
Composing Complex Skills by Learning Transition Policies.
ICLR (Poster)
Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim
2019 J jnl
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.
CoRR
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim
2019 Misc conf
To Follow or not to Follow: Selective Imitation Learning from Observations.
CoRL
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim
2019 J jnl
To Follow or not to Follow: Selective Imitation Learning from Observations.
CoRR
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim