337 citations · 1.7k across the 25 of their papers we have counts for
5 papers · 1 filter
Distributed GNE seeking under partial-decision information over networks via a doubly-augmented operator splitting approach
Lacra Pavel
We consider distributed computation of generalized Nash equilibrium (GNE) over networks, in games with shared coupling constraints. Existing methods require that each player has fu…
On Passivity, Reinforcement Learning and Higher-Order Learning in Multi-Agent Finite Games
Bolin Gao, Lacra Pavel
In this paper, we propose a passivity-based methodology for analysis and design of reinforcement learning in multi-agent finite games. Starting from a known exponentially-discounte…
On seeking efficient Pareto optimal points in multi-player minimum cost flow problems with application to transportation systems
Shuvomoy Das Gupta, Lacra Pavel
In this paper, we propose a multi-player extension of the minimum cost flow problem inspired by a transportation problem that arises in modern transportation industry. We associate…
From Game-theoretic Multi-agent Log Linear Learning to Reinforcement Learning
Mohammadhosein Hasanbeig, Lacra Pavel
The main focus of this paper is on enhancement of two types of game-theoretic learning algorithms: log-linear learning and reinforcement learning. The standard analysis of log-line…
Asynchronous distributed algorithms for seeking generalized Nash equilibria under full and partial decision information
Peng Yi, Lacra Pavel
We investigate asynchronous distributed algorithms with delayed information for seeking generalized Nash equilibrium over multi-agent networks. The considered game model has all pl…