Bellman operator convergence enhancements in reinforcement learning algorithms

20 May 2025

Papers citing "Bellman operator convergence enhancements in reinforcement learning algorithms"

8 / 8 papers shown

Title
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways Saeid Jamshidi Foutse Khomh Kawser Wazed Nafi Amin Nikanjam Samira Keivanpour Omar Abdul-Wahab Martine Bellaiche 44 0 0 23 Nov 2025
Topological Foundations of Reinforcement Learning David Krame Kadurha 170 1 0 25 Sep 2024
Metrics and continuity in reinforcement learningAAAI Conference on Artificial Intelligence (AAAI), 2021 Charline Le Lan Marc G. Bellemare Pablo Samuel Castro 158 39 0 02 Feb 2021
Efficient Model-free Reinforcement Learning in Metric Spaces Zhao Song Wen Sun OffRL 158 41 0 01 May 2019
The Value Function Polytope in Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019 Robert Dadashi Adrien Ali Taïga Nicolas Le Roux Dale Schuurmans Marc G. Bellemare 170 51 0 31 Jan 2019
A General Family of Robust Stochastic Operators for Reinforcement Learning Yingdong Lu M. Squillante C. Wu 78 3 0 21 May 2018
Lipschitz Continuity in Model-based Reinforcement LearningInternational Conference on Machine Learning (ICML), 2018 Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 271 165 0 19 Apr 2018
Increasing the Action Gap: New Operators for Reinforcement Learning Marc G. Bellemare Georg Ostrovski A. Guez Philip S. Thomas Rémi Munos 171 158 0 15 Dec 2015