- author = "Bjorn Andersson and Per Svensson and Peter Nordin and Mats Nordahl",
- title = "Reactive and Memory-Based Genetic Programming for Robot Control",
- booktitle = "Genetic Programming, Proceedings of EuroGP'99",
- year = "1999",
- editor = "Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty",
- volume = "1598",
- series = "LNCS",
- pages = "161--172",
- address = "Goteborg, Sweden",
- publisher_address = "Berlin",
- month = "26-27 " # may,
- organisation = "EvoNet",
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming: Poster",
- ISBN = "3-540-65899-8",
-
DOI = "
doi:10.1007/3-540-48885-5_13",
- abstract = "In this paper we introduce a new approach to genetic programming with memory in reinforcement learning situations, which selects memories in order to increase the probability of modelling the most relevant parts of memory space. We evolve maps directly from state to action, rather than maps that predict reward based on state and action, which reduces the complexity of the evolved mappings. The work is motivated by applications to the control of autonomous robots. Preliminary results in software simulations indicate an enhanced learning speed and quality.",
-
notes = "EuroGP'99, part of \cite{poli:1999:GP}
AIMGP machine code GP, memory, simulated robot",
