Edward S. Hu

According to our database, Edward S. Hu authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to Achieve Goals with Belief State Transformers.

Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford

CoRR, 2024

World Models Increase Autonomy in Reinforcement Learning.

Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu

CoRR, 2024

Privileged Sensing Scaffolds Reinforcement Learning.

Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Planning Goals for Exploration.

Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Know Thyself: Transferable Visual Control Policies Through Robot-Awareness.

Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

Proceedings of the Tenth International Conference on Learning Representations, 2022

Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning.

Kun Huang, Edward S. Hu, Dinesh Jayaraman

Proceedings of the Conference on Robot Learning, 2022

2021

Know Thyself: Transferable Visuomotor Control Through Robot-Awareness.

Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

CoRR, 2021

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.

Youngwoon Lee, Edward S. Hu, Joseph J. Lim

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.

Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim

CoRR, 2019

Composing Complex Skills by Learning Transition Policies.

Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim

Proceedings of the 7th International Conference on Learning Representations, 2019

To Follow or not to Follow: Selective Imitation Learning from Observations.

Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim

Proceedings of the 3rd Annual Conference on Robot Learning, 2019