15 citations · 27 across the 10 of their papers we have counts for
4 papers · 1 filter
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games
Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling +1
In this paper, we study large population multi-agent reinforcement learning (RL) in the context of discrete-time linear-quadratic mean-field games (LQ-MFGs). Our setting differs fr…
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games
Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling +1
While the topic of mean-field games (MFGs) has a relatively long history, heretofore there has been limited work concerning algorithms for the computation of equilibrium control po…
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning
Weichao Mao, Kaiqing Zhang, Erik Miehling +1
Multi-agent reinforcement learning (MARL) under partial observability has long been considered challenging, primarily due to the requirement for each agent to maintain a belief ove…
Protecting Consumers Against Personalized Pricing: A Stopping Time Approach
Roy Dong, Erik Miehling, Cedric Langbort
The widespread availability of behavioral data has led to the development of data-driven personalized pricing algorithms: sellers attempt to maximize their revenue by estimating th…