| Decentralized MCTS via learned teammate models A Czechowski, FA Oliehoek Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 25 | 2020 |
| Influence-based abstraction in deep reinforcement learning M Suau de Castro, E Congeduti, RAN Starre, AT Czechowski, ... AAMAS Workshop on Adaptive Learning Agents (ALA), 2019 | 9* | 2019 |
| Existence of Periodic Solutions of the FitzHugh--Nagumo Equations for an Explicit Range of the Small Parameter A Czechowski, P Zgliczynski SIAM Journal on Applied Dynamical Systems 15 (3), 1615-1655, 2016 | 8 | 2016 |
| Rigorous numerics for PDEs with indefinite tail: existence of a periodic solution of the Boussinesq equation with time-dependent forcing A Czechowski, P Zgliczynski Schedae Informaticae 24, 143-158, 2015 | 7 | 2015 |
| Influence-aware memory architectures for deep reinforcement learning in POMDPs M Suau, J He, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek Neural Computing and Applications, 1-17, 2022 | 5 | 2022 |
| Non-chaotic limit sets in multi-agent learning A Czechowski, G Piliouras Autonomous Agents and Multi-Agent Systems 37 (2), 29, 2023 | 3 | 2023 |
| RangL: A Reinforcement Learning Competition Platform V Zobernig, RA Saldanha, J He, E van der Sar, J van Doorn, JC Hua, ... arXiv preprint arXiv:2208.00003, 2022 | 3 | 2022 |
| Rigorous numerics for a singular perturbation problem A Czechowski dissertation, Jagiellonian University, DOI: 10.13140/RG.2.2.31257.47205, 2015 | 3* | 2015 |
| Poincar\'{e}-Bendixson Limit Sets in Multi-Agent Learning A Czechowski, G Piliouras Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 2 | 2021 |
| Influence-aware memory for deep reinforcement learning M Suau, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek | 2 | 2020 |
| Symplectomorphisms and discrete braid invariants A Czechowski, R Vandervorst Journal of Fixed Point Theory and Applications 19, 231-262, 2017 | 2 | 2017 |
| Influence-aware Memory for Deep RL in POMDPs M Suau, E Congeduti, J He, RAN Starre, A Czechowski, FA Oliehoek NeurIPS Workshop, 2020 | 1 | 2020 |
| ICA based on Split Generalized Gaussian P Spurek, P Rola, J Tabor, A Czechowski Schedae Informaticae, 2019, Volume 28, s. 25-47, 2018 | 1 | 2018 |
| Safety Guarantees in Multi-agent Learning via Trapping Regions A Czechowski, FA Oliehoek Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
| Safe multi-agent learning via trapping regions A Czechowski, FA Oliehoek arXiv preprint arXiv:2302.13844, 2023 | | 2023 |
| Multi Robot Surveillance and Planning in Limited Communication Environments. VI Kedege, A Czechowski, L Stellingwerff, FA Oliehoek ICAART (1), 139-147, 2022 | | 2022 |
| Constraint Propagation and Reverse Multi-Agent Learning A Czechowski AAAI Spring Symposium Series, 2021 | | 2021 |
| Exploring the Effects of Conditioning Independent Q-Learners on the Sufficient Statistic for Dec-POMDPs AV Mandersloot, FA Oliehoek, AT Czechowski BNAIC/BENELEARN 2020, 423-424, 2020 | | 2020 |
| Alternating Maximization with Behavioral Cloning A Czechowski, A Frans BNAIC/BeneLearn 2020, 370, 2020 | | 2020 |
| Exploring the effects of conditioning Independent Q-Learners on the sufficient plan-time statistic for Dec-POMDPs A Mandersloot, FA Oliehoek, A Czechowski TU Delft, 2020 | | 2020 |
Frans A. OliehoekAssociate Professor at Delft University of TechnologyEmail được xác minh tại tudelft.nl