Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. - Sreehari Rammohan; Shangqun Yu; Bowen He; Eric Hsiung; Eric Rosen; Stefanie Tellex; George Konidaris 001 (CoRR, 2021)

Learning Reward Functions from a Combination of Demonstration and Evaluative Feedback. - Eric Hsiung; Eric Rosen; Vivienne Bihe Chi; Bertram F. Malle (HRI, 2022)

Generalizing to New Domains by Mapping Natural Language to Lifted LTL. - Eric Hsiung; Hiloni Mehta; Junchi Chu; Xinyu Liu 014; Roma Patel; Stefanie Tellex; George Konidaris 001 (ICRA, 2022)

Norm Learning with Reward Models from Instructive and Evaluative Feedback. - Eric Rosen; Eric Hsiung; Vivienne Bihe Chi; Bertram F. Malle (RO-MAN, 2022)

Learning Reward Machines through Preference Queries over Sequences. - Eric Hsiung; Joydeep Biswas; Swarat Chaudhuri (CoRR, 2023)

Learning Quantitative Automata Modulo Theories. - Eric Hsiung; Swarat Chaudhuri; Joydeep Biswas (CoRR, 2024)

Automata Learning from Preference and Equivalence Queries. - Eric Hsiung; Joydeep Biswas; Swarat Chaudhuri (CAV (4), 2025)