Reinforcement Learning from Offline Data and Human Feedback | Poster Session

Presenter: Nirmit Joshi (Toyota Technological Institute at Chicago)
Collaborator(s): Gene Li, Siddharth Bhandari, Shiva Kasiviswanathan, Cong Ma, Nathan Srebro
Title: Learning to Answer Correct Demonstrations

Presenter: Kellen Kanarios (University of Michigan)
Collaborator(s): Lei Ying
Title: Motion Planning via Contrastive Reinforcement Learning and Monte-Carlo Tree Search

Presenter: Kihyun Kim (Massachusetts Institute of Technology (MIT))
Collaborator(s): Jiawei Zhang (University of Wisconsin-Madison), Asuman Ozdaglar (MIT), Pablo Parrilo (MIT)
Title: A Linear Programming Framework for Offline Inverse Reinforcement Learning

Presenter: Chunyin Lei (University of California, Santa Barbara (UCSB))
Collaborator(s): Annie Qu
Title: Risk-Aware Quantile Dynamic Treatment Regimes

Presenter: Pangpang Liu (Yale University)
Collaborator(s): Junwei Lu (Harvard University), Will Wei Sun (Purdue University)
Title: Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback

Presenter: Jongha Jon Ryu (Massachusetts Institute of Technology (MIT))
Collaborator(s): Jeongyeol Kwon (Meta), Benjamin Koppe (Cornell), Kwang-Sung Jun (POSTECH)
Title: Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing

Presenter: Qining Zhang (University of Michigan)
Collaborator(s): Lei Ying
Title: Provable Preference-based Reinforcement Learning with an Unknown Link Function: A Stochastic Zeroth-Order Framework