Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning

22 September 2022

Papers citing "Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning"

3 / 3 papers shown

Title
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 24 13 0 15 Feb 2023
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 30 1 0 26 Oct 2022
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 67 112 0 28 Apr 2021