activity
20172020
most citedDeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

812 citations · 815 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection

Olga Petrova, Karel Durkota, Galina Alperovich +4

Anomaly detection is a method for discovering unusual and suspicious behavior. In many real-world scenarios, the examined events can be directly linked to the actions of an adversa…

cs.LG2019

Classification with Costly Features as a Sequential Decision-Making Problem

Jaromír Janisch, Tomáš Pevný, Viliam Lisý

This work focuses on a specific classification problem, where the information about a sample is not readily available, but has to be acquired for a cost, and there is a per-sample…

cs.GT20193 cited

Problems with the EFG formalism: a solution attempt using observations

Vojtěch Kovařík, Viliam Lisý

We argue that the extensive-form game (EFG) model isn't powerful enough to express all important aspects of imperfect information games, such as those related to decomposition and…

cs.GT2018

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…

cs.AI2017812 cited

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

Matej Moravčík, Martin Schmid, Neil Burch +7

Artificial intelligence has seen several breakthroughs in recent years, with games often serving as milestones. A common feature of these games is that players have perfect informa…