Project Publications

• Learning First-Order Representations for Planning from Black-Box States: New Results. Iván D. Rodriguez, Blai Bonet, Javier Romero, Hector Geffner. Proc. 18th International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021.

• Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches. Dominik Drexler, Jendrik Seipp, and Hector Geffner. Proc. 18th International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021.

• Learning Generalized Unsolvability Heuristics for Classical Planning. Simon Ståhlberg, Guillem Francès, Jendrik Seipp. Proc. 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021, p.2703-2710.

• Flexible FOND Planning with Explicit Fairness Assumptions. Iván D. Rodriguez, Blai Bonet, Sebastián Sardiña, Hector Geffner. Proc. 31st International Conference on Automated Planning and Scheduling (ICAPS), 2021, p.290-298.

• General Policies, Representations, and Planning Width. Blai Bonet and Hector Geffner. Proc. 35th AAAI Conf. on Artificial Intelligence (AAAI), 2021, p.11764-11773.

• Learning General Planning Policies from Small Examples Without Supervision. Guillem Francès, Blai Bonet, and Hector Geffner. Proc. 35th AAAI Conf. on Artificial Intelligence (AAAI), 2021, p.11801-11808.

• Qualitative Numeric Planning: Reductions and Complexity. Blai Bonet and Hector Geffner. Journal of Artificial Intelligence Research (JAIR), 2020, vol. 69, p.923-961.

• Learning First-Order Symbolic Representations for Planning from the Structure of the State Space. Blai Bonet and Hector Geffner. Proc. 24th European Conf. on Artificial Intelligence (ECAI), 2020.

• Learning Features and Abstract Actions for Computing Generalized Plans. Blai Bonet, Guillem Francès, and Hector Geffner. Proc. 33rd AAAI Conf. on Artificial Intelligence (AAAI), 2019, p.2703-2710.