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Resource-constrained Multi-agent Markov Decision Processes.. Delft University of Technology, Netherlands, (2019)base-search.net (fttudelft:oai:tudelft.nl:uuid:89c0f1a2-d19f-4466-9cc5-52aeb3950e53).Reinforcement Learning for Strategic Recommendations., , , and . CoRR, (2020)Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs., , , and . AAAI, page 3562-3568. AAAI Press, (2017)Risk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making., and . AAMAS, page 303-311. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Large Neighborhood Search for Temperature Control with Demand Response., , , , and . CP, volume 12333 of Lecture Notes in Computer Science, page 603-619. Springer, (2020)Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning., , , and . e-Energy, page 14-21. ACM, (2023)A Novel Priority Rule Heuristic: Learning from Justification., and . ICAPS, AAAI, (2014)Best-Response Planning of Thermostatically Controlled Loads under Power Constraints., , and . AAAI, page 615-621. AAAI Press, (2015)Residential Power and Battery Data., , , and . (August 2023)Capacity-aware Sequential Recommendations., , , , and . AAMAS, page 416-424. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)