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2020 – today
- 2024
[c5]Neil Guan, Shangqun Yu, Shifan Zhu, Donghyun Kim:
Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot. UR 2024: 755-761- [i11]Nisal Perera, Shangqun Yu, Daniel Marew, Mack Tang, Ken Suzuki, Aidan McCormack, Shifan Zhu, Yong-Jae Kim, Donghyun Kim:
StaccaToe: A Single-Leg Robot that Mimics the Human Leg and Toe. CoRR abs/2404.05039 (2024) - [i10]Neil Guan, Shangqun Yu, Shifan Zhu, Donghyun Kim:
Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot. CoRR abs/2404.15096 (2024) - [i9]Shangqun Yu, Nisal Perera, Daniel Marew, Donghyun Kim:
Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains. CoRR abs/2405.17227 (2024) - [i8]Daniel Marew, Nisal Perera, Shangqun Yu, Sarah Roelker, Donghyun Kim:
A Biomechanics-Inspired Approach to Soccer Kicking for Humanoid Robots. CoRR abs/2407.14612 (2024) - 2023
- [j1]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c4]Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris:
Q-functionals for Value-Based Continuous Control. AAAI 2023: 8932-8939 - [c3]Daniel Marew, Misha Lvovsky, Shangqun Yu, Shotaro Sessions, Donghyun Kim:
Integration of Riemannian Motion Policy with Whole-Body Control for Collision-Free Legged Locomotion. Humanoids 2023: 1-8 - [c2]Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris:
Meta-learning Parameterized Skills. ICML 2023: 10461-10481 - [i7]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - 2022
- [c1]Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS 2022 - [i6]Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Dimitri Konidaris:
Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. CoRR abs/2203.10616 (2022) - [i5]Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman:
Meta-Learning Transferable Parameterized Skills. CoRR abs/2206.03597 (2022) - [i4]Daniel Marew, Misha Lvovsky, Shangqun Yu, Shotaro Sessions, Donghyun Kim:
Integration of Riemannian Motion Policy and Whole-Body Control for Dynamic Legged Locomotion. CoRR abs/2210.03713 (2022) - [i3]Haotian Fu, Shangqun Yu, Michael Littman, George Dimitri Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR abs/2210.11579 (2022) - 2021
- [i2]Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris:
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. CoRR abs/2107.13356 (2021) - [i1]Yiheng Xie, Mingxuan Li, Shangqun Yu, Michael L. Littman:
Learning Generalizable Behavior via Visual Rewrite Rules. CoRR abs/2112.05218 (2021)
Coauthor Index
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