3 papers
cs.GT2020
Solving Zero-Sum One-Sided Partially Observable Stochastic Games
Karel Horák, Branislav Bošanský, Vojtěch Kovařík +1
Many security and other real-world situations are dynamic in nature and can be modelled as strictly competitive (or zero-sum) dynamic games. In these domains, agents perform action…
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.GT2019
Compact Representation of Value Function in Partially Observable Stochastic Games
Karel Horák, Branislav Bošanský, Christopher Kiekintveld +1
Value methods for solving stochastic games with partial observability model the uncertainty about states of the game as a probability distribution over possible states. The dimensi…