2 papers
cs.AI2026
Learning to Search and Searching to Learn for Generalization in Planning
Michael Aichmüller, Yannik Hesse, Hector Geffner
Combinatorial generalization remains a central challenge in Deep Reinforcement Learning (DRL). Classical planning provides a simple yet challenging setting to study this problem th…
cs.AI2025
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
Michael Aichmüller, Hector Geffner
In planning and reinforcement learning, the identification of common subgoal structures across problems is important when goals are to be achieved over long horizons. Recently, it…