IEICE Trans

Keyword : reinforcement learning

Particle Filter Design Based on Reinforcement Learning and Its Application to Mobile Robot Localization Ryota YOSHIMURA Ichiro MARUTA Kenji FUJIMOTO Ken SATO Yusuke KOBAYASHI
Publication: Publication Date: 2022/05/01 Vol. E105-D No. 5 ; pp. 1010-1023 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: particle filter, state estimation, reinforcement learning, convergence, mobile robot localization,
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Deep Coalitional Q-Learning for Dynamic Coalition Formation in Edge Computing Shiyao DING Donghui LIN
Publication: Publication Date: 2022/05/01 Vol. E105-D No. 5 ; pp. 864-872 Type of Manuscript: Special Section PAPER (Special Section on Knowledge-Based Software Engineering) Category: Keyword: internet of things, edge computing, multi-agent systems, coalition structure generation, reinforcement learning, MDP, deep Q-network,
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A Reinforcement Learning Method for Optical Thin-Film Design Anqing JIANG Osamu YOSHIE
Publication: Publication Date: 2022/02/01 Vol. E105-C No. 2 ; pp. 95-101 Type of Manuscript: PAPER Category: Optoelectronics Keyword: optical thin-film design, reinforcement learning, neural combinatorial optimization,
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A Reinforcement Learning Approach for Self-Optimization of Coverage and Capacity in Heterogeneous Cellular Networks Junxuan WANG Meng YU Xuewei ZHANG Fan JIANG
Publication: Publication Date: 2021/10/01 Vol. E104-B No. 10 ; pp. 1318-1327 Type of Manuscript: PAPER Category: Antennas and Propagation Keyword: coverage and capacity optimization, self-organizing networks, radio frequency, reinforcement learning, heterogeneous cellular networks,
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Optimal Planning of Emergency Communication Network Using Deep Reinforcement Learning Changsheng YIN Ruopeng YANG Wei ZHU Xiaofei ZOU Junda ZHANG
Publication: Publication Date: 2021/01/01 Vol. E104-B No. 1 ; pp. 20-26 Type of Manuscript: PAPER Category: Network Keyword: emergency communication, network planning, reinforcement learning, intelligence,
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Towards Interpretable Reinforcement Learning with State Abstraction Driven by External Knowledge Nicolas BOUGIE Ryutaro ICHISE
Publication: Publication Date: 2020/10/01 Vol. E103-D No. 10 ; pp. 2143-2153 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: reinforcement learning, symbolic reinforcement learning, reasoning about knowledge, interpretable reinforcement learning,
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A Highly Reliable Compilation Optimization Passes Sequence Generation Framework Jiang WU Jianjun XU Xiankai MENG Yan LEI
Publication: Publication Date: 2020/09/01 Vol. E103-D No. 9 ; pp. 1998-2002 Type of Manuscript: LETTER Category: Software System Keyword: compilation optimization sequence, reinforcement learning, reliability, LLVM,
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Hybrid of Reinforcement and Imitation Learning for Human-Like Agents Rousslan F. J. DOSSA Xinyu LIAN Hirokazu NOMOTO Takashi MATSUBARA Kuniaki UEHARA
Publication: Publication Date: 2020/09/01 Vol. E103-D No. 9 ; pp. 1960-1970 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: autonomous driving, game AI, human-like behavior, imitation learning, reinforcement learning,
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Extendable NFV-Integrated Control Method Using Reinforcement Learning Akito SUZUKI Ryoichi KAWAHARA Masahiro KOBAYASHI Shigeaki HARADA Yousuke TAKAHASHI Keisuke ISHIBASHI
Publication: Publication Date: 2020/08/01 Vol. E103-B No. 8 ; pp. 826-841 Type of Manuscript: PAPER Category: Network Keyword: NFV, network control, reinforcement learning,
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Control of Discrete-Time Chaotic Systems with Policy-Based Deep Reinforcement Learning Junya IKEMOTO Toshimitsu USHIO
Publication: Publication Date: 2020/07/01 Vol. E103-A No. 7 ; pp. 885-892 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: reinforcement learning, policy gradient, deep reinforcement learning, chaos control,
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Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment Ming FENG Lijun QIAN Hao XU
Publication: Publication Date: 2019/10/01 Vol. E102-B No. 10 ; pp. 1925-1932 Type of Manuscript: INVITED PAPER (Special Section on Exploring Drone for Mobile Sensing, Coverage and Communications: Theory and Applications) Category: Keyword: reinforcement learning, game theory, mobile ad-hoc network, mission oriented metrics, multi-agent systems,
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Learning in Two-Player Matrix Games by Policy Gradient Lagging Anchor Shiyao DING Toshimitsu USHIO
Publication: Publication Date: 2019/04/01 Vol. E102-A No. 4 ; pp. 708-711 Type of Manuscript: LETTER Category: Mathematical Systems Science Keyword: reinforcement learning, policy gradient, multi-agent systems, matrix game,
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A Robot Model That Obeys a Norm of a Human Group by Participating in the Group and Interacting with Its Members Yotaro FUSE Hiroshi TAKENOUCHI Masataka TOKUMARU
Publication: Publication Date: 2019/01/01 Vol. E102-D No. 1 ; pp. 185-194 Type of Manuscript: PAPER Category: Kansei Information Processing, Affective Information Processing Keyword: social robot, group norm, reinforcement learning, human-robot interaction,
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Incremental Estimation of Natural Policy Gradient with Relative Importance Weighting Ryo IWAKI Hiroki YOKOYAMA Minoru ASADA
Publication: Publication Date: 2018/09/01 Vol. E101-D No. 9 ; pp. 2346-2355 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: reinforcement learning, natural policy gradient, adaptive step size,
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A Real-Time Subtask-Assistance Strategy for Adaptive Services Composition Li QUAN Zhi-liang WANG Xin LIU
Publication: Publication Date: 2018/05/01 Vol. E101-D No. 5 ; pp. 1361-1369 Type of Manuscript: PAPER Category: Data Engineering, Web Information Systems Keyword: service composition, reinforcement learning, Q-learning, subtask-assistance,
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Optimal Digital Control with Uncertain Network Delay of Linear Systems Using Reinforcement Learning Taishi FUJITA Toshimitsu USHIO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2016/02/01 Vol. E99-A No. 2 ; pp. 454-461 Type of Manuscript: Special Section PAPER (Special Section on Mathematical Systems Science and its Applications) Category: Keyword: reinforcement learning, adaptive control, output feedback control, optimal control, linear system,
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Sarsa Learning Based Route Guidance System with Global and Local Parameter Strategy Feng WEN Xingqiao WANG
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2015/12/01 Vol. E98-A No. 12 ; pp. 2686-2693 Type of Manuscript: PAPER Category: Intelligent Transport System Keyword: reinforcement learning, Sarsa learning, global and local parameter strategy, route guidance,
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Adaptive Q-Learning Cell Selection Method for Open-Access Femtocell Networks: Multi-User Case Chaima DHAHRI Tomoaki OHTSUKI
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2014/08/01 Vol. E97-B No. 8 ; pp. 1679-1688 Type of Manuscript: PAPER Category: Network Management/Operation Keyword: open access femtocell networks, handover, reinforcement learning, Q-learning, fuzzy logic,
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An Intelligent Fighting Videogame Opponent Adapting to Behavior Patterns of the User Koichi MORIYAMA Simón Enrique ORTIZ BRANCO Mitsuhiro MATSUMOTO Ken-ichi FUKUI Satoshi KURIHARA Masayuki NUMAO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2014/04/01 Vol. E97-D No. 4 ; pp. 842-851 Type of Manuscript: PAPER Category: Information Network Keyword: entertainment computing, adapting agent, pattern matching, reinforcement learning,
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Heuristic Function Negotiation for Markov Decision Process and Its Application in UAV Simulation Fengfei ZHAO Zheng QIN Zhuo SHAO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2014/01/01 Vol. E97-D No. 1 ; pp. 89-97 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: Markov decision processes, heuristic function, reinforcement learning, UAV,
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An Improved Model of Ant Colony Optimization Using a Novel Pheromone Update Strategy Pooia LALBAKHSH Bahram ZAERI Ali LALBAKHSH
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2013/11/01 Vol. E96-D No. 11 ; pp. 2309-2318 Type of Manuscript: PAPER Category: Fundamentals of Information Systems Keyword: ant colony optimization, ant colony system, ant-miner, classification rule mining, learning automata, reinforcement learning,
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Multi-Channel Cooperative Spectrum Sensing in Cognitive Radio Networks Ji-Hoon LEE Woo-Jin SONG
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2013/09/01 Vol. E96-A No. 9 ; pp. 1909-1913 Type of Manuscript: LETTER Category: Communication Theory and Signals Keyword: cognitive radio, cooperative spectrum sensing, multi-channel, cooperator selection, reinforcement learning,
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Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting Ning XIE Hirotaka HACHIYA Masashi SUGIYAMA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2013/05/01 Vol. E96-D No. 5 ; pp. 1134-1144 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: painterly rendering, stroke-based rendering, reinforcement learning, policy gradient,
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Reinforcement Learning of Optimal Supervisor for Discrete Event Systems with Different Preferences Koji KAJIWARA Tatsushi YAMASAKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2013/02/01 Vol. E96-A No. 2 ; pp. 525-531 Type of Manuscript: Special Section PAPER (Special Section on Mathematical Systems Science and its Applications) Category: Concurrent Systems Keyword: discrete event systems, supervisory control, decentralized system, reinforcement learning, optimal control,
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Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems Jaak SIMM Masashi SUGIYAMA Hirotaka HACHIYA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/10/01 Vol. E95-D No. 10 ; pp. 2426-2437 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: reinforcement learning, multi-task learning, transfer learning, factored state models, Markov decision process,
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An Adaptive Method to Acquire QoS Class Allocation Policy Based on Reinforcement Learning Nagao OGINO Hajime NAKAMURA
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2012/09/01 Vol. E95-B No. 9 ; pp. 2828-2837 Type of Manuscript: PAPER Category: Network Keyword: multi-domain path-based network, end-to-end QoS guarantee, adaptive QoS class allocation, acquisition of allocation policy, reinforcement learning,
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Option-Based Monte Carlo Algorithm with Conditioned Updating to Learn Conflict-Free Task Allocation in Transport Applications Alex VALDIVIELSO Toshiyuki MIYAMOTO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2011/12/01 Vol. E94-A No. 12 ; pp. 2810-2820 Type of Manuscript: Special Section PAPER (Special Section on Mathematical Systems Science and its Applications) Category: Keyword: option framework, reinforcement learning, task allocation, conflict prevention, multi-car elevators,
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An Adaptive Cooperative Spectrum Sensing Scheme Using Reinforcement Learning for Cognitive Radio Sensor Networks Thuc KIEU-XUAN Insoo KOO
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2011/05/01 Vol. E94-B No. 5 ; pp. 1456-1459 Type of Manuscript: LETTER Category: Network Keyword: cognitive radio sensor network, cooperative spectrum sensing, decision fusion, reinforcement learning,
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Least Absolute Policy Iteration--A Robust Approach to Value Function Approximation Masashi SUGIYAMA Hirotaka HACHIYA Hisashi KASHIMA Tetsuro MORIMURA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2010/09/01 Vol. E93-D No. 9 ; pp. 2555-2565 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: reinforcement learning, value function approximation, least-squares policy iteration, outlier, ₁-loss function, linear programming,
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Synchronization of Chaotic Systems without Direct Connections Using Reinforcement Learning Norihisa SATO Masaharu ADACHI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2009/04/01 Vol. E92-A No. 4 ; pp. 958-965 Type of Manuscript: Special Section PAPER (Special Section on Advanced Technologies Emerging Mainly from the 21st Workshop on Circuits and Systems in Karuizawa) Category: Keyword: chaos synchronization, reinforcement learning,
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A Nonlinear Approach to Robust Routing Based on Reinforcement Learning with State Space Compression and Adaptive Basis Construction Hideki SATOH
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2008/07/01 Vol. E91-A No. 7 ; pp. 1733-1740 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: robust routing, reinforcement learning, multivariate analysis, function approximation,
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Reinforcement Learning with Orthonormal Basis Adaptation Based on Activity-Oriented Index Allocation Hideki SATOH
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2008/04/01 Vol. E91-A No. 4 ; pp. 1169-1176 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: orthonormal basis, function approximation, non-linear, reinforcement learning, activity,
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A State Space Compression Method Based on Multivariate Analysis for Reinforcement Learning in High-Dimensional Continuous State Spaces Hideki SATOH
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2006/08/01 Vol. E89-A No. 8 ; pp. 2181-2191 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: reinforcement learning, curse of dimensionality, multivariate analysis, approximation, nonlinear,
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Exploiting Intelligence in Fighting Action Games Using Neural Networks Byeong Heon CHO Sung Hoon JUNG Yeong Rak SEONG Ha Ryoung OH
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2006/03/01 Vol. E89-D No. 3 ; pp. 1249-1256 Type of Manuscript: PAPER Category: Biocybernetics, Neurocomputing Keyword: computer game, artificial intelligence, neural network, reinforcement learning, adaptive system,
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Decentralized Supervisory Control of Discrete Event Systems Based on Reinforcement Learning Tatsushi YAMASAKI Toshimitsu USHIO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2005/11/01 Vol. E88-A No. 11 ; pp. 3045-3050 Type of Manuscript: Special Section PAPER (Special Section on Concurrent/Hybrid Systems: Theory and Applications) Category: Keyword: discrete event systems, decentralized control, supervisory control, reinforcement learning, optimal control,
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Analysis on the Parameters of the Evolving Artificial Agents in Sequential Bargaining Game Seok-Cheol CHANG Joung-Il YUN Ju-Sang LEE Sang-Uk LEE Nitaigour-Premchand MAHALIK Byung-Ha AHN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/09/01 Vol. E88-D No. 9 ; pp. 2098-2101 Type of Manuscript: Special Section LETTER (Special Section on Software Agent and Its Applications) Category: Keyword: sequential bargaining game, artificial agent, statistics analysis, genetic algorithm, reinforcement learning,
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CHQ: A Multi-Agent Reinforcement Learning Scheme for Partially Observable Markov Decision Processes Hiroshi OSADA Satoshi FUJITA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/05/01 Vol. E88-D No. 5 ; pp. 1004-1011 Type of Manuscript: PAPER Category: Artificial Intelligence and Cognitive Science Keyword: multi-agent system, reinforcement learning, partially observable MDP, Q-learning,
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On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning Kazunori IWATA Kazushi IKEDA Hideaki SAKAI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/01/01 Vol. E88-D No. 1 ; pp. 135-142 Type of Manuscript: PAPER Category: Artificial Intelligence and Cognitive Science Keyword: reinforcement learning, Markov decision process, Lempel-Ziv coding, domain size, stochastic complexity,
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An Approach to the Piano Mover's Problem Using Hierarchic Reinforcement Learning Yuko ISHIWAKA Tomohiro YOSHIDA Hiroshi YOKOI Yukinori KAKAZU
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2004/08/01 Vol. E87-D No. 8 ; pp. 2106-2113 Type of Manuscript: PAPER Category: Distributed Cooperation and Agents Keyword: reinforcement learning, piano mover's problem, heterogeneous multi-agent, find-path problem, obstacle avoidance,
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Multiagent Cooperating Learning Methods by Indirect Media Communication Ruoying SUN Shoji TATSUMI Gang ZHAO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2003/11/01 Vol. E86-A No. 11 ; pp. 2868-2878 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: reinforcement learning, ant colony system, multiagent cooperating, indirect media communication,
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Does Reinforcement Learning Simulate Threshold Public Goods Games?: A Comparison with Subject Experiments Atsushi IWASAKI Shuichi IMURA Sobei H. ODA Itsuo HATONO Kanji UEDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2003/08/01 Vol. E86-D No. 8 ; pp. 1335-1343 Type of Manuscript: Special Section PAPER (Special Issue on Software Agent and Its Applications) Category: Keyword: reinforcement learning, agent-based computational economics, experimental economics, public goods,
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An Intelligent Stock Trading System Based on Reinforcement Learning Jae Won LEE Sung-Dong KIM Jongwoo LEE Jinseok CHAE
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2003/02/01 Vol. E86-D No. 2 ; pp. 296-305 Type of Manuscript: PAPER Category: Artificial Intelligence, Cognitive Science Keyword: reinforcement learning, TD algorithm, stock selection, neural network, multiple agents,
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Learning of Virtual Words Utilized in Negotiation Process between Agents Hiroyuki IIZUKA Keiji SUZUKI Masahito YAMAMOTO Azuma OHUCHI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2000/06/25 Vol. E83-A No. 6 ; pp. 1075-1082 Type of Manuscript: Special Section PAPER (Special Section of Papers Selected from 1999 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'99)) Category: Keyword: price negotiation, reinforcement learning, agent-based simulation,
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Controlling Multiple Cranes Using Multi-Agent Reinforcement Learning: Emerging Coordination among Competitive Agents Sachiyo ARAI Kazuteru MIYAZAKI Shigenobu KOBAYASHI
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2000/05/25 Vol. E83-B No. 5 ; pp. 1039-1047 Type of Manuscript: Special Section PAPER (IEICE/IEEE Joint Special Issue on Autonomous Decentralized Systems) Category: Real Time Control Keyword: reinforcement learning, multi-agent system, profit-sharing, conflict resolution,
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A Constructive Compound Neural Networks. II Application to Artificial Life in a Competitive Environment Jianjun YAN Naoyuki TOKUDA Juichi MIYAMICHI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2000/04/25 Vol. E83-D No. 4 ; pp. 845-856 Type of Manuscript: PAPER Category: Artificial Intelligence, Cognitive Science Keyword: neural networks construction, artificial life, fuzzy logic, genetic algorithm, reinforcement learning,
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Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning Taku YOSHIOKA Shin ISHII Minoru ITO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 1999/12/25 Vol. E82-D No. 12 ; pp. 1618-1626 Type of Manuscript: PAPER Category: Bio-Cybernetics and Neurocomputing Keyword: reinforcement learning, normalized Gaussian network, Othello, min-max strategy,
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Learning the Balance between Exploration and Exploitation via Reward Tetsuya YOSHIDA Koichi HORI Shinichi NAKASUKA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1999/11/25 Vol. E82-A No. 11 ; pp. 2538-2545 Type of Manuscript: Special Section PAPER (Special Section on Concurrent Systems Technology) Category: Keyword: multi-agent system, reinforcement learning, reward, exploration, exploitation,
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RTP-Q: A Reinforcement Learning System with Time Constraints Exploration Planning for Accelerating the Learning Rate Gang ZHAO Shoji TATSUMI Ruoying SUN
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1999/10/25 Vol. E82-A No. 10 ; pp. 2266-2273 Type of Manuscript: PAPER Category: Artificial Intelligence and Knowledge Keyword: reinforcement learning, planning, reacting, exploration, exploitation,
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