Jeong, Jihwan

8 publications

AAAI 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner

ICML 2025 Reflect-Then-Plan: Offline Model-Based Planning Through a Doubly Bayesian Lens Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart

ICLR 2024 Demystifying Embedding Spaces Using Large Language Models Guy Tennenholtz, Yinlam Chow, ChihWei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

ICLR 2023 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner

AAAI 2022 A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner

ICML 2022 An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming Jihwan Jeong, Parth Jaggi, Andrew Butler, Scott Sanner

AAAI 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

IJCAI 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions Jihwan Jeong, Parth Jaggi, Scott Sanner