Jul 17, 2023 · This paper presents an offline macro learning method that works with arbitrarily chosen planners and domains. Given a planner, a domain, and a ...

This paper presents an ofine macro learning method that works with arbitrarily chosen planners and domains. Given a planner, a domain, and a number of example ...

This paper presents an offline macro learning method that works with arbitrarily chosen planners and domains. Given a planner, a domain, and a number of example ...

This paper presents an offline macro learning method that works with arbitrarily chosen planners and domains, and generates macros from plans of some of the ...

This paper presents an offline macro learning method that works with arbitrarily chosen planners and domains. Given a planner, a domain, and a number of example ...

Using a macro-action gen- erator that is able to generate and evaluate macro-actions for arbitrary domains, we describe two learning methods – one more ...

Abstract. We build a comprehensive macro-learning system and contribute in three different dimensions that have previously not been addressed adequately.

Jul 22, 2023 · Learn- ing macro-actions for arbitrary planners and domains. In. Proceedings of the International Conference on Automated. Planning and ...

Sep 30, 2024 · This paper presents an offline evolutionary method that learns macros for arbitrary planners and domains. Our method explores a wider macro ...

We present a formal analysis of our approach, and examine its performance on two very large simulation experiments: scientific ex- ploration and a target ...