Gimelfarb, Michael

7 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

NeurIPS 2025 STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation Hossein Goli, Michael Gimelfarb, Nathan Samuel de Lara, Haruki Nishimura, Masha Itkina, Florian Shkurti

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

UAI 2021 Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee

NeurIPS 2021 Risk-Aware Transfer in Reinforcement Learning Using Successor Features Michael Gimelfarb, Andre Barreto, Scott Sanner, Chi-Guhn Lee

UAI 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee

NeurIPS 2018 Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee