40 citations · 134 across the 31 of their papers we have counts for
4 papers · 1 filter
Beyond Strict Competition: Approximate Convergence of Multi Agent Q-Learning Dynamics
Aamal Hussain, Francesco Belardinelli, Georgios Piliouras
The behaviour of multi-agent learning in competitive settings is often considered under the restrictive assumption of a zero-sum game. Only under this strict requirement is the beh…
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players
Aamal Hussain, Dan Leonte, Francesco Belardinelli +1
The behaviour of multi-agent learning in many player games has been shown to display complex dynamics outside of restrictive examples such as network zero-sum games. In addition, i…
Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics
Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras
Achieving convergence of multiple learning agents in general -player games is imperative for the development of safe and reliable machine learning (ML) algorithms and their appl…
Reasoning about Human-Friendly Strategies in Repeated Keyword Auctions
Francesco Belardinelli, Wojtek Jamroga, Vadim Malvone +3
In online advertising, search engines sell ad placements for keywords continuously through auctions. This problem can be seen as an infinitely repeated game since the auction is ex…