30 citations · 106 across the 23 of their papers we have counts for
16 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…
Zero-Sum Differential Games on the Wasserstein Space
Jun Moon, Tamer Basar
We consider two-player zero-sum differential games (ZSDGs), where the state process (dynamical system) depends on the random initial condition and the state process's distribution,…
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…
Quantifying Market Efficiency Impacts of Aggregated Distributed Energy Resources
Khaled Alshehri, Mariola Ndrio, Subhonmesh Bose +1
We focus on the aggregation of distributed energy resources (DERs) through a profit-maximizing intermediary that enables participation of DERs in wholesale electricity markets. Par…
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…
Strategic Inference with a Single Private Sample
Erik Miehling, Roy Dong, Cédric Langbort +1
Motivated by applications in cyber security, we develop a simple game model for describing how a learning agent's private information influences an observing agent's inference proc…