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cs.LG2023
On the Effective Horizon of Inverse Reinforcement Learning
Yiqing Xu, Finale Doshi-Velez, David Hsu
Inverse reinforcement learning (IRL) algorithms often rely on (forward) reinforcement learning or planning, over a given time horizon, to compute an approximately optimal policy fo…
cs.LG2022
Receding Horizon Inverse Reinforcement Learning
Yiqing Xu, Wei Gao, David Hsu
Inverse reinforcement learning (IRL) seeks to infer a cost function that explains the underlying goals and preferences of expert demonstrations. This paper presents receding horizo…
cs.LG2020
Factor Graph Molecule Network for Structure Elucidation
Hieu Le Trung, Yiqing Xu, Wee Sun Lee
Designing a network to learn a molecule structure given its physical/chemical properties is a hard problem, but is useful for drug discovery tasks. In this paper, we incorporate hi…