Convergence of Monte Carlo Tree Search in Simultaneous Move Games. - Viliam Lisý; Vojtech Kovarík; Marc Lanctot; Branislav Bosanský (NIPS, 2013)

Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. - Michal Sustr; Vojtech Kovarík; Viliam Lisý (AAMAS, 2019)

Approximation capability of neural networks on spaces of probability measures and tree-structured domains. - Tomás Pevný; Vojtech Kovarík (CoRR, 2019)

Problems with the EFG formalism: a solution attempt using observations. - Vojtech Kovarík; Viliam Lisý (CoRR, 2019)

Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games. - Vojtech Kovarík; Viliam Lisý (CoRR, 2019)

(When) Is Truth-telling Favored in AI Debate? - Vojtech Kovarík; Ryan Carey (SafeAI@AAAI, 2020)

Analysis of Hannan consistent selection for Monte Carlo tree search in simultaneous move games. - Vojtech Kovarík; Viliam Lisý (Mach. Learn., 2020)

Fast Algorithms for Poker Require Modelling it as a Sequential Bayesian Game. - Vojtech Kovarík; David Milec; Michal Sustr; Dominik Seitz; Viliam Lisý (CoRR, 2021)

Rethinking formal models of partially observable multiagent decision making. - Vojtech Kovarík; Martin Schmid; Neil Burch; Michael Bowling; Viliam Lisý (Artif. Intell., 2022)

Game Theory with Simulation of Other Players. - Vojtech Kovarík; Caspar Oesterheld; Vincent Conitzer (IJCAI, 2023)

Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). - Vojtech Kovarík; Martin Schmid; Neil Burch; Michael Bowling; Viliam Lisý (IJCAI, 2023)

Value functions for depth-limited solving in zero-sum imperfect-information games. - Vojtech Kovarík; Dominik Seitz; Viliam Lisý; Jan Rudolf; Shuo Sun; Karel Ha (Artif. Intell., 2023)

Solving zero-sum one-sided partially observable stochastic games. - Karel Horák 002; Branislav Bosanský; Vojtech Kovarík; Christopher Kiekintveld (Artif. Intell., 2023)

Recursive Joint Simulation in Games. - Vojtech Kovarík; Caspar Oesterheld; Vincent Conitzer (CoRR, 2024)

Extinction Risks from AI: Invisible to Science? - Vojtech Kovarík; Christian van Merwijk; Ida Mattsson (CoRR, 2024)

Game Theory with Simulation in the Presence of Unpredictable Randomisation. - Vojtech Kovarík; Nathaniel Sauerberg; Lewis Hammond; Vincent Conitzer (AAMAS, 2025)

Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games. - David Milec; Vojtech Kovarík; Viliam Lisý (AAMAS, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)