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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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Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width: Extended Version., , and . CoRR, (2022)Cartesian Abstractions and Saturated Cost Partitioning in Probabilistic Planning., , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1272-1279. IOS Press, (2023)Incremental Search for Counterexample-Guided Cartesian Abstraction Refinement., , and . ICAPS, page 244-248. AAAI Press, (2020)Eliminating Redundant Actions from Plans Using Classical Planning., , and . KR, page 774-778. (2023)New Optimization Functions for Potential Heuristics., , and . ICAPS, page 193-201. AAAI Press, (2015)Counterexample-Guided Cartesian Abstraction Refinement., and . ICAPS, AAAI, (2013)PARIS: Planning Algorithms for Reconfiguring Independent Sets., , , , , , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 453-460. IOS Press, (2023)Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches., , and . KR, page 258-268. (2021)Automatic Instance Generation for Classical Planning., , and . ICAPS, page 376-384. AAAI Press, (2021)Subset-Saturated Cost Partitioning for Optimal Classical Planning., and . ICAPS, page 391-400. AAAI Press, (2019)