Search Results for author: Pawel Gomoluch

Found 3 papers, 0 papers with code

Towards learning domain-independent planning heuristics

no code implementations21 Jul 2017 Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone

Automated planning remains one of the most general paradigms in Artificial Intelligence, providing means of solving problems coming from a wide variety of domains.

Learning Classical Planning Strategies with Policy Gradient

no code implementations23 Oct 2018 Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo

This enables using policy gradient to learn search strategies tailored to a specific distributions of planning problems and a selected performance metric, e. g. the IPC score.

Learning Neural Search Policies for Classical Planning

no code implementations27 Nov 2019 Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone

In this paper, we introduce a parametrized search algorithm template which combines various search techniques within a single routine.

Stochastic Optimization

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