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Michael Fisher, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikof, Neil Yorke-Smith (2021), Towards a Framework for Certification of Reliable Autonomous Systems, In Autonomous Agents and Multi-Agent Systems Volume 35 p.1-65.

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

Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson (2021), UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning, Marina Meila, Tong Zhang (Eds.), In Proceedings of the International Conference on Machine Learning (ICML) Volume 139 p.3930-3941.

Q. Yang, T. D. Simão, S.H. Tindemans, M.T.J. Spaan (2021), WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning, In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21) p.10639-10646.

Christie Etukudor, Valentin Robu, Wolf Gerrit Fruh, David Flynn, Hope Orovwode (2021), Yield assessment of Off-grid PV systems in Nigeria, In 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021, IEEE.

Mark Wallace, Neil Yorke-Smith (2020), A New Constraint Programming Model and Solving for the Cyclic Hoist Scheduling Problem, In Constraints Volume 25 p.319-337.

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Jaume Jordán, Alejandro Torreño, Mathijs de Weerdt, Eva Onaindia (2020), A Non-cooperative Game-Theoretic Approach for Conflict Resolution in Multi-agent Planning, In Group Decision and Negotiation Volume 30 p.7-41.

Jennifer Renoux, Tiago S. Veiga, Pedro U. Lima, Matthijs T.J. Spaan (2020), A Unified Decision-Theoretic Model for Information Gathering and Communication Planning, In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) p.67-74, IEEE.