Natalia Romero, Koos van der Linden, German Morales-Espania, Mathijs de Weerdt (2021), Stochastic bidding of volume and price in constrained energy and reserve markets, In Electric Power Systems Research Volume 191 p.1-8.

Jacobus G.M. Van Der Linden, Jesse Mulderij, Bob Huisman, Joris W. Den Ouden, Marjan Van Den Akker, Han Hoogeveen, Mathijs M. De Weerdt (2021), TORS: A train unit shunting and servicing simulator, In 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 p.1773-1775, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Jordi Zomer, Nikola Bešinović, Mathijs M. de Weerdt, Rob M.P. Goverde (2021), The Maintenance Location Choice Problem for railway rolling stock, In Journal of Rail Transport Planning & Management Volume 20 p.1-14.

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.

Laurens Bliek, Sicco Verwer, Mathijs de Weerdt (2020), Black-box combinatorial optimization using models with integer-valued minima, In Annals of Mathematics and Artificial Intelligence Volume 89 p.639-653.

Joris Scharpff, Daan Schraven, Leentje Volker, Matthijs T.J. Spaan, Mathijs M. de Weerdt (2020), Can multiple contractors self-regulate their joint service delivery?: A serious gaming experiment on road maintenance planning, In Construction Management and Economics Volume 39 (2021) p.99–116.

Hazem Abdelghany, Simon Tindemans, Mathijs de Weerdt, Han la Poutré (2020), Distributed coordination of deferrable loads: A real-time market with self-fulfilling forecasts, In Sustainable Energy, Grids and Networks Volume 23.

Greg Neustroev, Mathijs de Weerdt (2020), Generalized Optimistic Q-Learning with Provable Efficiency, Bo An, Amal El Fallah Seghrouchni, Gita Sukthankar (Eds.), In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 p.913-921, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Greg Neustroev, Canmanie Ponnambalam, Mathijs de Weerdt, Matthijs Spaan (2020), Interval Q-Learning: Balancing Deep and Wide Exploration, In Adaptive and Learning Agents Workshop.

Iván David Serna-Suárez, Gilberto Carrillo-Caicedo, Germán Andrés Morales-España, Mathijs De Weerdt, Gabriel Ordóñez-Plata (2019), A convex approximation for optimal DER scheduling on unbalanced power distribution networks, In DYNA (Colombia) Volume 86 p.281-291.