3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Learning not to Regret
David Sychrovský, Michal Šustr, Elnaz Davoodi +3
The literature on game-theoretic equilibrium finding predominantly focuses on single games or their repeated play. Nevertheless, numerous real-world scenarios feature playing a gam…
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms
Vojtěch Kovařík, David Milec, Michal Šustr +2
Recent advancements in algorithms for sequential decision-making under imperfect information have shown remarkable success in large games such as limit- and no-limit poker. These a…
Sound Algorithms in Imperfect Information Games
Michal Šustr, Martin Schmid, Matej Moravčík +3
Search has played a fundamental role in computer game research since the very beginning. And while online search has been commonly used in perfect information games such as Chess a…
Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games
Michal Sustr, Vojtech Kovarik, Viliam Lisy
Online game playing algorithms produce high-quality strategies with a fraction of memory and computation required by their offline alternatives. Continual Resolving (CR) is a recen…