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Integrating Deep Policy Learning with Model-Based Heuristic Search for AI Planning
Third-party funded project
Project title Integrating Deep Policy Learning with Model-Based Heuristic Search for AI Planning
Principal Investigator(s) Helmert, Malte
Organisation / Research unit Departement Mathematik und Informatik / Artificial Intelligence (Helmert)
Project start 04.09.2019
Probable end 31.12.2022
Status Completed
Abstract

This project performs exploratory research to policy learning methods based on deep neural networks with model-based approaches to heuristic search for domain-independent planning as studied in the AI Planning community. The project is supported by IBM Research with an IBM Faculty Award.

Financed by Private Sector / Industry
   

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26/04/2024