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2020 – today
- 2023
[c13]Matthias Klapperstueck, Frits de Nijs, Ilankaikone Senthooran, Jack Lee-Kopij, Maria Garcia de la Banda, Michael Wybrow
:
Exploring Hydrogen Supply/Demand Networks: Modeller and Domain Expert Views. CP 2023: 21:1-21:18- [c12]Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. e-Energy 2023: 14-21 - [d1]Christoph Bergmeir, Quang Bui, Frits de Nijs, Peter J. Stuckey:
Residential Power and Battery Data. Zenodo, 2023
- 2022
- [i5]Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. CoRR abs/2212.06542 (2022) - [i4]Muhammad Anwar, Changlong Wang, Frits de Nijs, Hao Wang:
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets. CoRR abs/2212.06551 (2022) - [i3]Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j1]Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms. J. Artif. Intell. Res. 70: 955-1001 (2021) - [c11]Yashvir S. Grewal, Frits de Nijs, Sarah Goodwin:
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract). AAAI 2021: 15785-15786 - 2020
- [c10]Frits de Nijs, Peter J. Stuckey:
Risk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making. AAMAS 2020: 303-311 - [c9]Edward Lam, Frits de Nijs, Peter J. Stuckey, Donald Azuatalam, Ariel Liebman:
Large Neighborhood Search for Temperature Control with Demand Response. CP 2020: 603-619 - [i2]Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs:
Reinforcement Learning for Strategic Recommendations. CoRR abs/2009.07346 (2020)
2010 – 2019
- 2019
- [b1]Frits de Nijs:
Resource-constrained Multi-agent Markov Decision Processes. Delft University of Technology, Netherlands, 2019 - 2018
- [c8]Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Preallocation and Planning Under Stochastic Resource Constraints. AAAI 2018: 4662-4669 - [c7]Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Capacity-aware Sequential Recommendations. AAMAS 2018: 416-424 - 2017
- [c6]Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. AAAI 2017: 3562-3568 - 2016
- [c5]Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Decoupling a Resource Constraint Through Fictitious Play in Multi-Agent Sequential Decision Making. ECAI 2016: 1724-1725 - 2015
- [c4]Frits de Nijs, Matthijs T. J. Spaan, Mathijs de Weerdt:
Best-Response Planning of Thermostatically Controlled Loads under Power Constraints. AAAI 2015: 615-621 - [c3]Frits de Nijs:
Dynamic Capacity Control and Balancing in the Medium Voltage Grid. AAMAS 2015: 1979-1980 - 2014
- [c2]Frits de Nijs, Tomas Klos:
A Novel Priority Rule Heuristic: Learning from Justification. ICAPS 2014 - 2012
- [c1]Adriaan ter Mors, Cees Witteveen, Charlotte Ipema, Frits de Nijs, Theodor Tsiourakis:
Empirical Evaluation of Multi-Agent Routing Approaches. IAT 2012: 305-309 - [i1]Frits de Nijs, Daan Wilmer:
Evaluation and Improvement of Laruelle-Widgrén Inverse Banzhaf Approximation. CoRR abs/1206.1145 (2012)
Coauthor Index
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