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.

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).

Shariq Iqbal, Christian A. Schroeder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha (2021), Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning, Marina Meila, Tong Zhang (Eds.), In Proceedings of the 37th International Conference on Machine Learning, ICML 2020 Volume 139 p.4596-4606.

Jacopo Pierotti, Maximilian Kronmueller, Javier Alonso-Mora, J. Theresia van Essen, Wendelin Böhmer (2021), Reinforcement Learning for the Knapsack Problem, In AIRO Springer Series p.3-13, Springer Nature.

Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Böhmer, Shimon Whiteson (2021), Transient non-stationarity and generalisation in deep reinforcement learning.