Independent Learning in Stochastic Games

Independent Learning in Stochastic Games

23 November 2021

Asuman Ozdaglar

Papers citing "Independent Learning in Stochastic Games"

12 / 12 papers shown

Title
Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players Pragnya Alatur Anas Barakat Niao He 16 1 0 15 Aug 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 34 10 0 07 May 2024
Independent Learning in Constrained Markov Potential Games Philip Jordan Anas Barakat Niao He 28 7 0 27 Feb 2024
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park K. Zhang Asuman Ozdaglar 21 8 0 13 Jul 2023
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Anna Winnicki R. Srikant 12 1 0 17 Mar 2023
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games Awni Altabaa Bora Yongacoglu S. Yüksel 14 3 0 16 Mar 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 6 2 0 07 Feb 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim Semih Cayci M. Geist Niao He 48 27 0 29 Dec 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model Gen Li Yuejie Chi Yuting Wei Yuxin Chen 12 18 0 22 Aug 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence Dongsheng Ding Chen-Yu Wei K. Zhang M. Jovanović 4 68 0 08 Feb 2022
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games Bora Yongacoglu Gürdal Arslan S. Yüksel 17 15 0 09 Oct 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 57 158 0 11 Jan 2021