3 papers
cs.MA2025
Networked Communication for Decentralised Cooperative Agents in Mean-Field Control
Patrick Benjamin, Alessandro Abate
The mean-field framework has been used to find approximate solutions to problems involving very large populations of symmetric, anonymous agents, which may be intractable by other…
cs.MA2025
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Patrick Benjamin, Alessandro Abate
Recent algorithms allow decentralised agents, possibly connected via a communication network, to learn equilibria in mean-field games from a non-episodic run of the empirical syste…
cs.MA2025
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin, Alessandro Abate
Methods like multi-agent reinforcement learning struggle to scale with growing population size. Mean-field games (MFGs) are a game-theoretic approach that can circumvent this by fi…