Seuraa
Frits de Nijs
Frits de Nijs
Research Fellow, Monash University
Vahvistettu sähköpostiosoite verkkotunnuksessa monash.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1642020
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
272021
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
272017
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
212015
Reinforcement learning for strategic recommendations
G Theocharous, Y Chandak, PS Thomas, F de Nijs
arXiv preprint arXiv:2009.07346, 2020
122020
Evaluation and Improvement of Laruelle-Widgr\'en Inverse Banzhaf Approximation
F de Nijs, D Wilmer
arXiv preprint arXiv:1206.1145, 2012
112012
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
102022
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
102018
Preallocation and planning under stochastic resource constraints
F de Nijs, MTJ Spaan, MM de Weerdt
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
92018
Resource-constrained Multi-agent Markov Decision Processes
F de Nijs
72019
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
72012
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
52023
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
52022
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
52020
Project Scheduling: The Impact of Instance Structure on Heuristic Performance
F De Nijs
TU Delft, Delft University of Technology, 2013
52013
A Novel Priority Rule Heuristic: Learning from Justification
F de Nijs, T Klos
Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014
42014
Variance-Seeking Meta-Exploration to Handle Out-of-Distribution Tasks
YS Grewal, F de Nijs, S Goodwin
Deep RL Workshop NeurIPS 2021, 2021
22021
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
22020
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
12023
Multi-agent planning under uncertainty for capacity management
F de Nijs, MM De Weerdt, MTJ Spaan
Intelligent Integrated Energy Systems: The PowerWeb Program at TU Delft, 197-213, 2019
12019
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Artikkelit 1–20