Heuristic Learning in Domain-Independent Planning: Theoretical Analysis and Experimental Evaluation

Author:

Trunda OtakarORCID,Barták RomanORCID

Publisher

Springer International Publishing

Reference31 articles.

1. Arfaee, S.J., Zilles, S., Holte, R.C.: Bootstrap learning of heuristic functions. In: Felner, A., Sturtevant, N.R. (eds.) Proceedings of the Third Annual Symposium on Combinatorial Search, SOCS 2010. AAAI Press (2010)

2. Arfaee, S.J., Zilles, S., Holte, R.C.: Learning heuristic functions for largestate spaces. Artif. Intell. 175(16), 2075–2098 (2011)

3. Bisson, F., Larochelle, H., Kabanza, F.: Using a recursive neural network to learn an agent’s decision model for plan recognition. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)

4. Brunetto, R., Trunda, O.: Deep heuristic-learning in the Rubik’s cube domain: an experimental evaluation. In: Hlaváčová, J. (ed.) Proceedings of the 17th Conference ITAT 2017, pp. 57–64. CreateSpace Independent Publishing Platform (2017)

5. Cenamor, I., De La Rosa, T., Fernández, F.: Learning predictive models to configure planning portfolios. In: Proceedings of the 4th Workshop on Planning and Learning (ICAPS-PAL 2013) (2013)

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