Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement
Learning With Networked Agents

Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents

6 December 2018

Tong Zhang

Papers citing "Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents"

9 / 9 papers shown

Title
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games Muhammad Aneeq uz Zaman Kaipeng Zhang Erik Miehling Tamer Basar 29 16 0 30 Mar 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
Non-Cooperative Inverse Reinforcement Learning Xiangyuan Zhang Kaipeng Zhang Erik Miehling Tamer Basar 15 22 0 03 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 16 91 0 26 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 27 54 0 16 Oct 2019
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation Gang Wang Bingcong Li G. Giannakis 31 28 0 10 Sep 2019
Feature-Based Q-Learning for Two-Player Stochastic Games Zeyu Jia Lin F. Yang Mengdi Wang 24 45 0 02 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaipeng Zhang Zhuoran Yang Tamer Basar 32 125 0 31 May 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 28 596 0 01 Jan 2019