Planning in hybrid systems has been gaining research interest in the Artificial Intelligence community in recent years. Hybrid systems allow for a more accurate representation of real world problems, though solving them is very challenging due to complex system dynamics and a large model feature set. We developed DiNo, a new planner designed to tackle problems set in hybrid domains. DiNo is based on the discretise and validate approach and uses the novel Staged Relaxed Planning Graph+ (SRPG+) heuristic
Piotrowski, W., Fox, M., Long, D., Magazzeni, D., & Mercorio, F. (2016). Heuristic Planning for PDDL+ Domains. In Proceedings of Planning for Hybrid Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016 (pp.4254-4255).
Citazione: | Piotrowski, W., Fox, M., Long, D., Magazzeni, D., & Mercorio, F. (2016). Heuristic Planning for PDDL+ Domains. In Proceedings of Planning for Hybrid Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016 (pp.4254-4255). | |
Tipo: | paper | |
Carattere della pubblicazione: | Scientifica | |
Presenza di un coautore afferente ad Istituzioni straniere: | Si | |
Titolo: | Heuristic Planning for PDDL+ Domains | |
Autori: | Piotrowski, W; Fox, M; Long, D; Magazzeni, D; Mercorio, F | |
Autori: | ||
Data di pubblicazione: | 2016 | |
Lingua: | English | |
Nome del convegno: | The AAAI Workshop on Planning for Hybrid Systems February 12–17 | |
ISBN: | 978-1-57735-759-9 | |
Appare nelle tipologie: | 02 - Intervento a convegno |
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