Critical Distribution System. - Anetta Jedlickova; Martin Loebl; David Sychrovsky (CoRR, 2022)

Price of Anarchy in a Double-Sided Critical Distribution System. - David Sychrovsky; Jakub Cerný; Sylvain Lichau; Martin Loebl (AAMAS, 2023)

Rule Enforcing Through Ordering. - David Sychrovsky; Sameer Desai; Martin Loebl (GameSec, 2023)

Learning not to Regret. - David Sychrovsky; Michal Sustr; Elnaz Davoodi; Marc Lanctot; Martin Schmid (CoRR, 2023)

Promoting Non-Cooperation Through Ordering. - David Sychrovsky; Sameer Desai; Martin Loebl (CoRR, 2023)

Learning Not to Regret. - David Sychrovsky; Michal Sustr; Elnaz Davoodi; Michael Bowling; Marc Lanctot; Martin Schmid (AAAI, 2024)

Reducing Optimism Bias in Incomplete Cooperative Games. - Filip Úradník; David Sychrovský; Jakub Cerný; Martin Cerný 005 (AAMAS, 2024)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning. - David Sychrovský; Christopher Solinas; Revan MacQueen; Kevin Wang; James R. Wright; Nathan R. Sturtevant; Michael Bowling (CoRR, 2025)

Meta-Learning in Self-Play Regret Minimization. - David Sychrovský; Martin Schmid; Michal Sustr; Michael Bowling (CoRR, 2025)

Distribution through Repeated Market with Buying Rights. - David Sychrovský; Jakub Cerný; Martin Loebl (CoRR, 2025)