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Learning Heuristic Selection with Dynamic Algorithm Configuration

, , , , and . Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS, (June 2020)

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An Empirical Study of the Usefulness of State-Dependent Action Costs in Planning., , , and . KI, volume 11793 of Lecture Notes in Computer Science, page 123-130. Springer, (2019)Token-based Execution Semantics for Multi-Agent Epistemic Planning., , , and . KR, page 351-360. (2020)Learning Heuristic Selection with Dynamic Algorithm Configuration, , , , and . Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS, (June 2020)Game description language and dynamic epistemic logic compared., , , and . Artif. Intell., (2021)Epistemic Multi-agent Planning Using Monte-Carlo Tree Search., , , and . KI, volume 11793 of Lecture Notes in Computer Science, page 277-289. Springer, (2019)The Dynamic Logic of Policies and Contingent Planning., , , , and . JELIA, volume 11468 of Lecture Notes in Computer Science, page 659-674. Springer, (2019)Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract)., , , and . IJCAI, page 6372-6376. ijcai.org, (2019)Learning Heuristic Selection with Dynamic Algorithm Configuration., , , , and . CoRR, (2020)Moral Permissibility of Action Plans., , and . AAAI, page 7635-7642. AAAI Press, (2019)When Perfect Is Not Good Enough: On the Search Behaviour of Symbolic Heuristic Search., , and . ICAPS, page 263-271. AAAI Press, (2020)