Existence of Periodic Solutions of the FitzHugh-Nagumo Equations for an Explicit Range of the Small Parameter. - Aleksander Czechowski; Piotr Zgliczynski (SIAM J. Appl. Dyn. Syst., 2016)

Influence-aware Memory for Deep Reinforcement Learning. - Miguel Suau; Elena Congeduti; Rolf Starre; Aleksander Czechowski; Frans A. Oliehoek (CoRR, 2019)

Decentralized MCTS via Learned Teammate Models. - Aleksander Czechowski; Frans A. Oliehoek (IJCAI, 2020)

Poincaré-Bendixson Limit Sets in Multi-Agent Learning. - Aleksander Czechowski; Georgios Piliouras (AAMAS, 2022)

Multi Robot Surveillance and Planning in Limited Communication Environments. - Vibhav Inna Kedege; Aleksander Czechowski; Ludo Stellingwerff; Frans A. Oliehoek (ICAART (1), 2022)

RangL: A Reinforcement Learning Competition Platform. - Viktor Zobernig; Richard A. Saldanha; Jinke He; Erica van der Sar; Jasper van Doorn; Jia-Chen Hua; Lachlan Robert Mason; Aleksander Czechowski; Drago Indjic; Tomasz Kosmala; Alessandro Zocca; Sandjai Bhulai; et al. (CoRR, 2022)

Safety Guarantees in Multi-agent Learning via Trapping Regions. - Aleksander Czechowski; Frans A. Oliehoek (AAMAS, 2023)

Safe Multi-agent Learning via Trapping Regions. - Aleksander Czechowski; Frans A. Oliehoek (IJCAI, 2023)

Non-chaotic limit sets in multi-agent learning. - Aleksander Czechowski; Georgios Piliouras (Auton. Agents Multi Agent Syst., 2023)

Influence-aware memory architectures for deep reinforcement learning in POMDPs. - Miguel Suau; Jinke He; Elena Congeduti; Rolf A. N. Starre; Aleksander Czechowski; Frans A. Oliehoek (Neural Comput. Appl., 2025)