Generalization in Planning

Angeline Aguinaldo and William Regli. Encoding Compositionality in Classical Planning Solutions.

Dominik Drexler, Jendrik Seipp and Hector Geffner. Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches.

Blai Bonet and Hector Geffner. General Policies, Representations, and Planning Width.

Giuseppe De Giacomo, David Ghedallia, Donatella Firmani, Francesco Leotta, Federica Mandreoli and Massimo Mecella. IoT-based Digital Twins Orchestration via Automated Planning for Smart Manufacturing.

Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama and Martin Rinard. Program Synthesis Guided Reinforcement Learning for Partially Observed Environments.

Leon Illanes, Xi Yan, Rodrigo Toro Icarte and Sheila A. McIlraith. Symbolic Plans as High-Level Instructions for Reinforcement Learning.

Lorenzo Steccanella, Simone Totaro and Anders Jonsson. Hierarchical Representation Learning for Markov Decision Processes.

Giuseppe De Giacomo, Antonio Di Stasio, Lucas M. Tabajara, Moshe Vardi and Shufang Zhu. Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis.

Stanislav Sitanskiy, Laura Sebastia and Eva Onaindia. Learning Behaviour Based on Automated Feature Extraction.

Jun Hao Alvin Ng and Ronald P. A. Petrick. Generalised Linear Function Approximation with First-Order Features.

Rushang Karia and Siddharth Srivastava. Empirical Analysis of Abstractions for Learning Generalized Heuristic Networks.

Pulkit Verma and Siddharth Srivastava. Learning Causal Models of Autonomous Agents using Interventions.