327 citations · 970 across the 56 of their papers we have counts for
10 papers · 1 filter
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
Multi-agent reinforcement learning (MARL) has long been a significant and everlasting research topic in both machine learning and control. With the recent development of (single-ag…
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
Recent years have witnessed significant advances in reinforcement learning (RL), which has registered great success in solving various sequential decision-making problems in machin…
Non-Cooperative Inverse Reinforcement Learning
Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling +1
Making decisions in the presence of a strategic opponent requires one to take into account the opponent's ability to actively mask its intended objective. To describe such strategi…
Policy Optimization for Linear Control with Robustness Guarantee: Implicit Regularization and Global Convergence
Kaiqing Zhang, Bin Hu, Tamer Başar
Policy optimization (PO) is a key ingredient for reinforcement learning (RL). For control design, certain constraints are usually enforced on the policies to optimize, accounting f…
Online Planning for Decentralized Stochastic Control with Partial History Sharing
Kaiqing Zhang, Erik Miehling, Tamer Başar
In decentralized stochastic control, standard approaches for sequential decision-making, e.g. dynamic programming, quickly become intractable due to the need to maintain a complex…
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
Yixuan Lin, Kaiqing Zhang, Zhuoran Yang +4
This paper considers a distributed reinforcement learning problem in which a network of multiple agents aim to cooperatively maximize the globally averaged return through communica…