Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor

31 January 2023

Papers citing "Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor"

10 / 10 papers shown

Title
Qualitative Analysis of $ω$ -Regular Objectives on Robust MDPs Ali Asadi Krishnendu Chatterjee Ehsan Kafshdar Goharshady Mehrdad Karrabi Ali Shafiee 50 0 0 07 May 2025
Howard's Policy Iteration is Subexponential for Deterministic Markov Decision Problems with Rewards of Fixed Bit-size and Arbitrary Discount Factor Dibyangshu Mukherjee Shivaram Kalyanakrishnan 16 0 0 01 May 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 45 0 0 12 Jan 2025
Reinforcement Learning with LTL and $ω$ -Regular Objectives via Optimality-Preserving Translation to Average Rewards Xuan-Bach Le Dominik Wagner Leon Witzman Alexander Rabinovich Luke Ong 13 2 0 16 Oct 2024
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 33 0 0 22 Jul 2024
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes Navdeep Kumar Yashaswini Murthy Itai Shufaro Kfir Y. Levy R. Srikant Shie Mannor 36 2 0 11 Mar 2024
Solving Long-run Average Reward Robust MDPs via Stochastic Games Krishnendu Chatterjee Ehsan Kafshdar Goharshady Mehrdad Karrabi Petr Novotný Dorde Zikelic 18 5 0 21 Dec 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George K. Atia Ashley Prater-Bennette Shaofeng Zou 33 11 0 02 Jan 2023
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 53 10 0 21 Sep 2022
Taylor Expansion of Discount Factors Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 24 5 0 11 Jun 2021