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Learning Domain-Independent Policies for Open List Selection

, , , , , and . Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), page 1-9. (2022)

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On the Expressive Power of Non-Linear Merge-and-Shrink Representations., , and . ICAPS, page 106-114. AAAI Press, (2015)Efficient Implementation of Pattern Database Heuristics for Classical Planning., , and . SOCS, page 49-56. AAAI Press, (2012)Computing Domain Abstractions for Optimal Classical Planning with Counterexample-Guided Abstraction Refinement., , , and . ICAPS, page 221-226. AAAI Press, (2023)Efficient Evaluation of Large Abstractions for Decoupled Search: Merge-and-Shrink and Symbolic Pattern Databases., , and . ICAPS, page 138-147. AAAI Press, (2023)Learning Domain-Independent Policies for Open List Selection, , , , , and . Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), page 1-9. (2022)Counterexample-Guided Abstraction Refinement for Pattern Selection in Optimal Classical Planning., , and . ICAPS, page 362-367. AAAI Press, (2019)A Theory of Merge-and-Shrink for Stochastic Shortest Path Problems., , , and . ICAPS, page 203-211. AAAI Press, (2023)On the Complexity of Heuristic Synthesis for Satisficing Classical Planning: Potential Heuristics and Beyond., , , and . ICAPS, page 124-133. AAAI Press, (2022)Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems., and . J. Artif. Intell. Res., (2021)Automatic Configuration of Sequential Planning Portfolios., , , and . AAAI, page 3364-3370. AAAI Press, (2015)