David Sychrovský

About me

I am a PhD student at the Department of Applied Mathematics of Faculty of Mathematics and Physics, Charles University. My research interests include deep reinforcement learning, game theory and combination of the two. My supervisor is prof. Martin Loebl.

See my Curriculum Vitae.

Contact

e-mail: sychrovsky@kam.mff.cuni.cz

I am in theory reachable in room 320 at Malá Strana. However, I am rarely actually there without prior notice...

Publications

Learning not to Regret
David Sychrovský, Michal Šustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot and Martin Schmid
In Proceedings of the AAAI Conference on Artificial Intelligence AAAI, 2024.
pdf, arXiv, poster

Reducing Optimism Bias in Incomplete Cooperative Games
Filip Úradník, David Sychrovský, Jakub Černý, Martin Černý
In Proceedings of the 23nd International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, 2024.
pdf, arXiv

Price of Anarchy in a Double-Sided Critical Goods Distribution System
David Sychrovský, Jakub Černý, Sylvain Lichau and Martin Loebl
In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, 2023.
pdf, arXiv, poster

Rule Enforcing Through Ordering
David Sychrovský, Sameer Desai and Martin Loebl
In The 14th Conference on Decision and Game Theory for Security, GameSec, 2023.
pdf, arXiv

Workshop papers

Optimal Querying of Superadditive Set Functions to Minimize Ambiguity
Filip Úradník, David Sychrovský, Jakub Černý, Martin Černý
In Graph and Complex Structure Sorkshop, affiliated to AAAI 2024.
pdf

Learning not to Regret
David Sychrovský, Michal Šustr, Elnaz Davoodi, Marc Lanctot and Martin Schmid
In The 14th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS-23), 2023.
pdf, arXiv

Promoting Non-Cooperation Through Ordering
David Sychrovský, Sameer Desai, Martin Loebl
In The 14th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS-23), 2023.
pdf, arXiv