Publications

Eric Hsiung, Joydeep Biswas, Swarat Chaudhuri (2023). Learning Reward Machines through Preference Queries over Sequences. arXiv preprint arXiv:2308.09301.

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Sreehari Rammohan, Bowen He, Shangqun Yu, Eric Hsiung, Eric Rosen, George Konidaris (2022). Rainbow RBF-DQN. 2022 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making.

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Eric Rosen, Eric Hsiung, Vivienne Bihe Chi, Bertram F Malle (2022). Norm Learning with Reward Models from Instructive and Evaluative Feedback. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

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Eric Hsiung, Eric Rosen, Vivienne Bihe Chi, Bertram F Malle (2022). Learning Reward Functions from a Combination of Demonstration and Evaluative Feedback. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

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Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris (2021). Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. arXiv preprint arXiv:2107.13356.

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Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris (2021). Generalizing to New Domains by Mapping Natural Language to Lifted LTL. In Proceedings of the 2022 International Conference on Robotics and Automation, May 2022..

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