LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results. - Taro Konda; Shinjiro Tensyo; Tomohiro Yamaguchi 002 (PRICAI, 2002)

LC-Learning: Phased Method for Average Reward Reinforcement Learning - Analysis of Optimal Criteria. - Taro Konda; Tomohiro Yamaguchi 002 (PRICAI, 2002)

A newsingular value decomposition algorithmsuited to parallelization and preliminary results. - Taro Konda; Masami Takata; Masashi Iwasaki; Yoshimasa Nakamura (ACST, 2006)

Preliminary Result of Parallel Double Divide and Conquer. - Taro Konda; Hiroaki Tsuboi; Masami Takata; Masashi Iwasaki; Yoshimasa Nakamura (PDPTA, 2006)

Verification of dLVv Transformation for Singular Vector Computation with High Accuracy. - Masami Takata; Taro Konda; Kinji Kimura; Yoshimasa Nakamura (PDPTA, 2006)

Evaluation of a New Eigen Decomposition Algorithm for Symmetric Tridiagonal Matrices. - Hiroaki Tsuboi; Taro Konda; Masami Takata; Kinji Kimura; Masashi Iwasaki; Yoshimasa Nakamura (PDPTA, 2006)

Parallelism of double divide and conquer algorithm for singular value decomposition. - Taro Konda; Hiroaki Tsuboi; Masami Takata; Masashi Iwasaki; Yoshimasa Nakamura (Parallel and Distributed Computing and Networks, 2007)

Evaluations of Parallel Double Divide and Conquer on a 16?core Computer. - Taro Konda; Hiroki Toyokawa; Yoshimasa Nakamura (PDPTA, 2008)

A new algorithm for singular value decomposition and its parallelization. - Taro Konda; Yoshimasa Nakamura (Parallel Comput., 2009)