Hajime Murao - researchr alias

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Viewing Publication 1 - 18 from 18

2014

An Entropy-Guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement LearningMasato Nagayoshi, Hajime Murao, Hisashi Tamaki. iconip 2014: 119-126 [doi]

2013

Reinforcement learning for dynamic environment: a classification of dynamic environments and a detection method of environmental changesMasato Nagayoshi, Hajime Murao, Hisashi Tamaki. alr, 18(1-2):104-108, 2013. [doi]

2012

Developing reinforcement learning for adaptive co-construction of continuous high-dimensional state and action spacesMasato Nagayoshi, Hajime Murao, Hisashi Tamaki. alr, 17(2):204-210, 2012. [doi]

2011

Adaptive co-construction of state and action spaces in reinforcement learningMasato Nagayoshi, Hajime Murao, Hisashi Tamaki. alr, 16(1):48-52, 2011. [doi]

2010

A reinforcement learning with switching controllers for a continuous action spaceMasato Nagayoshi, Hajime Murao, Hisashi Tamaki. alr, 15(1):97-100, 2010. [doi]

2006

Measuring Source Code Similarity Using Reference VectorsAsako Ohno, Hajime Murao. icicic 2006: 92-95 [doi]

2004

Dermoscopic Image Segmentation by a Self-Organizing Map and Fuzzy Genetic ClusteringHarald Galda, Hajime Murao, Hisashi Tamaki, Shinzo Kitamura. ieicet, 87-D(9):2195-2203, 2004. [doi]

Simulation-based optimization model and metaheuristic solution of multiple crane scheduling problemsHisashi Tamaki, Shinzo Kitamura, Hajime Murao. SMC 2004: 1469-1474 [doi]

2003

Simulation-based study on resources circulation - an autonomous decentralized model and agent-based simulationTakuya Matsumoto, Hisashi Tamaki, Hajime Murao, Shinzo Kitamura. cira 2003: 1387-1392 [doi]

A heuristic-based hybrid solution for parallel machine scheduling problems with earliness and tardiness penaltiesHisashi Tamaki, Hajime Murao, Shinzo Kitamura. etfa 2003: 239-244 [doi]

2002

A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithmsHajime Murao, Hisashi Tamaki, Shinzo Kitamura. alr, 6(4):221-227, 2002. [doi]

A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithmsHajime Murao, Hisashi Tamaki, Shinzo Kitamura. cec 2002: 1612-1617 [doi]

2001

Walking pattern acquisition for quadruped robot by using modular reinforcement learningHajime Murao, Hisashi Tamaki, Shinzo Kitamura. SMC 2001: 1402-1405 [doi]

Modeling and genetic solution of a class of flexible job shop scheduling problemsHisashi Tamaki, Tamami Ono, Hajime Murao, Shinzo Kitamura. etfa 2001: 343-350 [doi]

2000

Building up Embodiment in Learning Agents Using A Gaussian Radial Basis Function Neural NetworkHajime Murao, Shinzo Kitamura. jrm, 12(6):656-663, 2000. [doi]

1997

Q-Learning with Adaptive State Space ConstructionHajime Murao, Shinzo Kitamura. ewlr 1998: 13-28 [doi]

Q-Learning with adaptive state segmentation (QLASS)Hajime Murao, Shinzo Kitamura. cira 1997: 179-184 [doi]

Evolution of locally defined learning rules and their coordination in feedforward neural networksHajime Murao, Shinzo Kitamura. alr, 1(2):89-94, 1997. [doi]

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