BC-IRL: Learning Generalizable Reward Functions from Demonstrations

28 March 2023

Papers citing "BC-IRL: Learning Generalizable Reward Functions from Demonstrations"

7 / 7 papers shown

Title
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 40 0 0 31 Dec 2024
Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof Yangchun Zhang Qiang Liu Weiming Li Yirui Zhou 27 0 0 21 Mar 2024
FoMo Rewards: Can we cast foundation models as reward functions? Ekdeep Singh Lubana Johann Brehmer P. D. Haan Taco S. Cohen OffRL LRM 33 2 0 06 Dec 2023
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 11 6 0 30 Jul 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 25 10 0 25 May 2023
Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das Sarah Bechtle Todor Davchev Dinesh Jayaraman Akshara Rai Franziska Meier 111 82 0 18 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017