Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games

27 July 2021

Papers citing "Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games"

14 / 14 papers shown

Title
Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits Woojin Jeong Seungki Min 55 0 0 28 Aug 2024
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
Scalable and Independent Learning of Nash Equilibrium Policies in $n$ -Player Stochastic Games with Unknown Independent Chains Tiancheng Qin S. Rasoul Etesami 21 2 0 04 Dec 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games Youbang Sun Tao-Wen Liu Ruida Zhou P. R. Kumar Shahin Shahrampour 33 11 0 15 Oct 2023
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods Sara Klein Simon Weissmann Leif Döring 29 7 0 04 Oct 2023
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence Jiduan Wu Anas Barakat Ilyas Fatkhullin Niao He 29 5 0 08 Sep 2023
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information Zuyue Fu Zhengling Qi Zhuoran Yang Zhaoran Wang Lan Wang OffRL 20 0 0 23 Dec 2022
Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems Michael Giegrich Christoph Reisinger Yufei Zhang 27 11 0 01 Nov 2022
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence S. Pattathil Kaipeng Zhang Asuman Ozdaglar 21 12 0 23 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence Dongsheng Ding Chen-Yu Wei Kaipeng Zhang M. Jovanović 22 69 0 08 Feb 2022
Learning Stationary Nash Equilibrium Policies in $n$ -Player Stochastic Games with Independent Chains S. Rasoul Etesami 19 6 0 28 Jan 2022
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods Xin Guo Anran Hu Junzi Zhang OffRL 25 6 0 13 Sep 2021
Entropy Regularization for Mean Field Games with Learning Xin Guo Renyuan Xu T. Zariphopoulou OOD 24 73 0 30 Sep 2020