Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand

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dc.contributor.authorWang, Wenhan
dc.date.accessioned2014-11-07T03:37:22Z
dc.date.available2014-11-07T03:37:22Z
dc.date.issued2014
dc.description.abstractThis research explores a new approach for building a complex intelligent robot multi-behaviour comprising of a variety of intelligent subsystems that are fused together into one hybrid system. The work mainly focuses on integrating reinforcement learning and fuzzy logic with genetic network programming, examining the different architectures, and aims to achieve multi-objective behaviours and alleviate the problem of learning and calibration by repeated interaction with the environment. Different components of the learning algorithm are studied separately and also in combination. They are developed systematically using an increasing level of complexity for robot behaviours. As a test bed, the work investigates how to achieve ball pursuit and wall avoidance behavioiurs simultaneously, in the realm of the robot soccer game. The training procedure and test environment is designed, as well as a variety of fitness functions are experimented for the multi-behaviour objectives [sic]. Furthermore, the novel evolutionary architecture is combined with hill-climbing to accelerate the search for the best individual.en_US
dc.identifier.urihttp://hdl.handle.net/10179/5865
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectRobot controlen_US
dc.subjectRobot socceren_US
dc.subjectGenetic network programmingen_US
dc.subjectFuzzy logicen_US
dc.subjectReinforcement learningen_US
dc.titleGenetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealanden_US
dc.typeThesisen_US
massey.contributor.authorWang, Wenhanen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
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