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Aleksander Czechowski
Aleksander Czechowski
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Decentralized MCTS via learned teammate models
A Czechowski, FA Oliehoek
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
172020
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
72019
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
72016
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
72015
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
42022
Poincar\'{e}-Bendixson Limit Sets in Multi-Agent Learning
A Czechowski, G Piliouras
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
32021
Rigorous numerics for a singular perturbation problem
A Czechowski
dissertation, Jagiellonian University, DOI: 10.13140/RG.2.2.31257.47205, 2015
3*2015
Influence-aware memory for deep reinforcement learning
M Suau, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek
22019
ICA based on Split Generalized Gaussian
P Spurek, P Rola, J Tabor, A Czechowski
Schedae Informaticae, 2019, Volume 28, s. 25-47, 2018
12018
Symplectomorphisms and discrete braid invariants
A Czechowski, R Vandervorst
Journal of Fixed Point Theory and Applications 19, 231-262, 2017
12017
Non-chaotic limit sets in multi-agent learning
A Czechowski, G Piliouras
Autonomous Agents and Multi-Agent Systems 37 (2), 29, 2023
2023
Safe multi-agent learning via trapping regions
A Czechowski, FA Oliehoek
Proceedings of the 32nd International Joint Conference on Artificial …, 2023
2023
Safety Guarantees in Multi-agent Learning via Trapping Regions
A Czechowski, FA Oliehoek
arXiv preprint arXiv:2302.13844, 2023
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
2022
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
Influence-aware Memory Architectures for Deep Reinforcement Learning
M Suau, J He, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek
arXiv preprint arXiv:1911.07643, 2019
2019
Cooperative queue data for adaptive traffic control
A Czechowski, X Zhang, R Blokpoel
25th ITS World Congress, Copenhagen, 2018
2018
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