Sara Casao, Álvaro Serra-Gómez, Ana C. Murillo, Wendelin Böhmer, Javier Alonso-Mora, Eduardo Montijano (2024), Distributed multi-target tracking and active perception with mobile camera networks, In Computer Vision and Image Understanding Volume 238.
S. Bakker, L. Knödler, M. Spahn, J.W. Böhmer, J. Alonso-Mora (2024), Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics, In Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems (MRS) p.149-155, IEEE.
Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt (2024), To the Max: Reinventing Reward in Reinforcement Learning, In Proceedings of Machine Learning Research p.49455-49470.
Y. Oren, M.A. Zanger, P.R. van der Vaart, M.T.J. Spaan, J.W. Böhmer (2024), Value Improved Actor Critic Algorithms.
Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer, Javier Alonso-Mora (2023), Active Classification of Moving Targets With Learned Control Policies, In IEEE Robotics and Automation Letters Volume 8 p.3717-3724.
Álvaro Serra-Gómez, Hai Zhu, B.F. Ferreira de Brito, Wendelin Böhmer, Javier Alonso-Mora (2023), Learning scalable and efficient communication policies for multi-robot collision avoidance, In Autonomous Robots Volume 47 p.1275-1297.
G. Veviurko, J.W. Böhmer, M.M. de Weerdt (2023), You Shall not Pass: the Zero-Gradient Problem in Predict and Optimize for Convex Optimization.
G. Veviurko, J.W. Böhmer, Laurens Mackay, M.M. de Weerdt (2022), Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability, In Energies Volume 15.
Bei Peng, Tabish Rashid, Christian A. Schroeder de Witt, Pierre-Alexandre Kamienny, Philip H.S. Torr, J.W. Böhmer, Shimon Whiteson (2021), FACMAC: Factored Multi-Agent Centralised Policy Gradients, M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang , J. Wortman Vaughan (Eds.), In Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Böhmer, Shimon Whiteson (2021), My body is a cage: the role of morphology in graph-based incompatible control, In International Conference on Learning Representations (ICLR).