2013 COLT COLT 2013

Approachability, fast and slow

Abstract

Approachability has become a central tool in the analysis of repeated games and online learning. A player plays a repeated vector-valued game against Nature and her objective is to have her long-term average reward inside some target set. The celebrated results of Blackwell provide a 1/\sqrtn convergence rate of the expected point-to-set distance if this is achievable, i.e., if the set is approachable. In this paper we provide a characterization for the convergence rates of approachability and show that in some cases a set can be approached with a 1/n rate. Our characterization is solely based on a combination of geometric properties of the set with properties of the repeated game, and not on additional restrictive assumptions on Natureโ€™s behavior.

๐Ÿ“ˆ Trend Setter โ€” Game AI
๐Ÿฃ Hot Topic Early Bird โ€” convergence rate
๐Ÿ Cross-Pollinator โ€” Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
๐ŸŒ‰ Interdisciplinary Bridge โ€” Artificial Intelligence and Machine Learning and Mathematics & Optimization