Identifiability and Generalizability in Constrained Inverse Reinforcement Learning

1 June 2023

Papers citing "Identifiability and Generalizability in Constrained Inverse Reinforcement Learning"

8 / 8 papers shown

Title
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour OffRL 23 1 0 03 Jun 2024
Inference of Utilities and Time Preference in Sequential Decision-Making Haoyang Cao Zhengqi Wu Renyuan Xu 24 0 0 24 May 2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm Titouan Renard Andreas Schlaginhaufen Tingting Ni Maryam Kamgarpour 51 1 0 25 Mar 2024
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification Joar Skalse Alessandro Abate 25 2 0 11 Mar 2024
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 20 3 0 01 Dec 2023
A Novel Variational Lower Bound for Inverse Reinforcement Learning Yikang Gui Prashant Doshi 14 0 0 07 Nov 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 29 42 0 04 Oct 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning Paul Rolland Luca Viano Norman Schuerhoff Boris Nikolov V. Cevher OffRL 37 13 0 22 Sep 2022