28 citations · 130 across the 23 of their papers we have counts for
3 papers · 1 filter
A stochastic game framework for patrolling a border
Matthew Darlington, Kevin D. Glazebrook, David S. Leslie +2
In this paper we consider a stochastic game for modelling the interactions between smugglers and a patroller along a border. The problem we examine involves a group of cooperating…
Decentralized Q-Learning in Zero-sum Markov Games
Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie +2
We study multi-agent reinforcement learning (MARL) in infinite-horizon discounted zero-sum Markov games. We focus on the practical but challenging setting of decentralized MARL, wh…
Bandit learning in concave -person games
Mario Bravo, David S. Leslie, Panayotis Mertikopoulos
This paper examines the long-run behavior of learning with bandit feedback in non-cooperative concave games. The bandit framework accounts for extremely low-information environment…