Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games M Šustr, V Kovařík, V Lisý Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 27 | 2019 |
Sound Algorithms in Imperfect Information Games M Šustr, M Schmid, M Moravčík, N Burch, M Lanctot, M Bowling Autonomous Agents and Multiagent Systems, 2021 | 8* | 2021 |
Learning not to Regret D Sychrovský, M Šustr, E Davoodi, M Bowling, M Lanctot, M Schmid Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15202 …, 2024 | 5 | 2024 |
Particle Value Functions in Imperfect Information Games M Šustr, V Kovařík, V Lisý AAMAS Adaptive and Learning Agents Workshop, 2021 | 4 | 2021 |
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report M Šustr, J Malý, M Čertický arXiv preprint arXiv:1801.02193, 2018 | 3 | 2018 |
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms V Kovařík, D Milec, M Šustr, D Seitz, V Lisý arXiv preprint arXiv:2112.10890, 2021 | 2* | 2021 |
Global CFR: Meta-Learning in Self-Play Regret Minimization D Sychrovský, M Sustr, M Bowling, M Schmid OPT 2023: Optimization for Machine Learning, 0 | | |