A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization

17 October 2021

Papers citing "A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization"

7 / 7 papers shown

Title
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 72 0 0 29 Aug 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 44 4 0 02 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
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees Toshinori Kitamura Tadashi Kozuno Masahiro Kato Yuki Ichihara Soichiro Nishimori Akiyoshi Sannai Sho Sonoda Wataru Kumagai Yutaka Matsuo 42 2 0 31 Jan 2024
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour 21 10 0 01 Jun 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning Ruida Zhou Tao-Wen Liu D. Kalathil P. R. Kumar Chao Tian 32 13 0 10 Jun 2022
Algorithm for Constrained Markov Decision Process with Linear Convergence E. Gladin Maksim Lavrik-Karmazin K. Zainullina Varvara Rudenko Alexander V. Gasnikov Martin Takáč 30 6 0 03 Jun 2022