On Improving Model-Free Algorithms for Decentralized Multi-Agent
Reinforcement Learning

On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning

12 October 2021

Papers citing "On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning"

15 / 15 papers shown

Title
Independent Learning in Performative Markov Potential Games Rilind Sahitaj Paulius Sasnauskas Yiğit Yalın Debmalya Mandal Goran Radanović 36 0 0 29 Apr 2025
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective Muhammad Aneeq uz Zaman Alec Koppel Mathieu Laurière Tamer Basar 39 3 0 17 Mar 2024
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park Kaipeng Zhang Asuman Ozdaglar 30 8 0 13 Jul 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
Swapped goal-conditioned offline reinforcement learning Wenyan Yang Huiling Wang Dingding Cai Joni Pajarinen Joni-Kristen Kämäräinen OffRL OnRL 30 1 0 17 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 31 13 0 06 Feb 2023
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games A. Zanardi Pier Giuseppe Sessa Nando Käslin S. Bolognani A. Censi Emilio Frazzoli 25 1 0 24 Oct 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 18 8 0 23 Aug 2022
Regret Minimization and Convergence to Equilibria in General-sum Markov Games Liad Erez Tal Lancewicki Uri Sherman Tomer Koren Yishay Mansour 40 25 0 28 Jul 2022
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization Shicong Cen Fan Chen Yuejie Chi 33 15 0 12 Apr 2022
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure Hsu Kao Chen-Yu Wei V. Subramanian 13 12 0 01 Nov 2021
UCB Momentum Q-learning: Correcting the bias without forgetting Pierre Menard O. D. Domingues Xuedong Shang Michal Valko 79 40 0 01 Mar 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 159 0 11 Jan 2021
A High Probability Analysis of Adaptive SGD with Momentum Xiaoyun Li Francesco Orabona 92 65 0 28 Jul 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaipeng Zhang Sham Kakade Tamer Bacsar Lin F. Yang 47 119 0 15 Jul 2020