Towards Theoretical Understanding of Inverse Reinforcement Learning

25 April 2023

Papers citing "Towards Theoretical Understanding of Inverse Reinforcement Learning"

9 / 9 papers shown

Title
On the Partial Identifiability in Reward Learning: Choosing the Best Reward Filippo Lazzati Alberto Maria Metelli 38 0 0 10 Jan 2025
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement Tewodros Ayalew Xiao Zhang Kevin Yuanbo Wu Tianchong Jiang Michael Maire Matthew R. Walter OffRL 75 1 0 26 Nov 2024
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 29 2 0 24 Sep 2024
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory M. Çelikok F. Oliehoek Jan-Willem van de Meent 40 0 0 29 May 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces Angeliki Kamoutsi Peter Schmitt-Förster Tobias Sutter V. Cevher John Lygeros 52 0 0 24 May 2024
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback Kihyun Kim Jiawei Zhang Asuman Ozdaglar P. Parrilo OffRL 41 1 0 20 May 2024
Inverse Reinforcement Learning with the Average Reward Criterion Feiyang Wu Jingyang Ke Anqi Wu 35 9 0 24 May 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 34 42 0 04 Oct 2022
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020