| Reinforcement learning for whole-building HVAC control and demand response D Azuatalam, WL Lee, F de Nijs, A Liebman Energy and AI 2, 100020, 2020 | 194 | 2020 |
| Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms F de Nijs, E Walraven, M De Weerdt, M Spaan Journal of Artificial Intelligence Research 70, 955-1001, 2021 | 34 | 2021 |
| Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs F de Nijs, E Walraven, MM de Weerdt, MTJ Spaan Proceedings of the 31st AAAI Conference on Artificial Intelligence, 3562-3568, 2017 | 28 | 2017 |
| Best-response planning of thermostatically controlled loads under power constraints F de Nijs, MTJ Spaan, MM de Weerdt Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 21 | 2015 |
| Proximal policy optimization based reinforcement learning for joint bidding in energy and frequency regulation markets M Anwar, C Wang, F De Nijs, H Wang 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 12 | 2022 |
| Reinforcement learning for strategic recommendations G Theocharous, Y Chandak, PS Thomas, F de Nijs arXiv preprint arXiv:2009.07346, 2020 | 12 | 2020 |
| Capacity-aware Sequential Recommendations F de Nijs, G Theocharous, N Vlassis, MM de Weerdt, MTJ Spaan Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 11 | 2018 |
| Evaluation and Improvement of Laruelle-Widgr\'en Inverse Banzhaf Approximation F de Nijs, D Wilmer arXiv preprint arXiv:1206.1145, 2012 | 11 | 2012 |
| Preallocation and planning under stochastic resource constraints F de Nijs, MTJ Spaan, MM de Weerdt Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 9 | 2018 |
| Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning Z Wei, F De Nijs, J Li, H Wang Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | 7 | 2023 |
| Resource-constrained Multi-agent Markov Decision Processes F de Nijs | 7 | 2019 |
| Empirical evaluation of multi-agent routing approaches A ter Mors, C Witteveen, C Ipema, F de Nijs, T Tsiourakis Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on …, 2012 | 7 | 2012 |
| Comparison and evaluation of methods for a predict+ optimize problem in renewable energy C Bergmeir, F de Nijs, A Sriramulu, M Abolghasemi, R Bean, J Betts, ... arXiv preprint arXiv:2212.10723, 2022 | 6 | 2022 |
| Risk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making F de Nijs, PJ Stuckey Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 5 | 2020 |
| A Novel Priority Rule Heuristic: Learning from Justification F de Nijs, T Klos Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014 | 5 | 2014 |
| Project Scheduling: The Impact of Instance Structure on Heuristic Performance F De Nijs TU Delft, Delft University of Technology, 2013 | 5 | 2013 |
| Making resource-constrained sequential recommendations F De Nijs, G Theocharous US Patent 11,449,763, 2022 | 4 | 2022 |
| Variance-Seeking Meta-Exploration to Handle Out-of-Distribution Tasks YS Grewal, F de Nijs, S Goodwin Deep RL Workshop NeurIPS 2021, 2021 | 2 | 2021 |
| Large neighborhood search for temperature control with demand response E Lam, F de Nijs, PJ Stuckey, D Azuatalam, A Liebman International Conference on Principles and Practice of Constraint …, 2020 | 2 | 2020 |
| Exploring hydrogen supply/demand networks: Modeller and domain expert views M Klapperstueck, F de Nijs, I Senthooran, J Lee-Kopij, ... 29th International Conference on Principles and Practice of Constraint …, 2023 | 1 | 2023 |
Mathijs de WeerdtFull Professor of Computer Science, Delft University of TechnologyVerified email at tudelft.nl
