Keyword : reinforcement learning


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 renderingstroke-based renderingreinforcement learningpolicy gradient
  Summary |  Full Text:PDF (5.1MB)

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 systemssupervisory controldecentralized systemreinforcement learningoptimal control
  Summary |  Full Text:PDF (802.2KB)

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 learningmulti-task learningtransfer learningfactored state modelsMarkov decision process
  Summary |  Full Text:PDF (509KB)

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 networkend-to-end QoS guaranteeadaptive QoS class allocationacquisition of allocation policyreinforcement learning
  Summary |  Full Text:PDF (858.7KB)

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 frameworkreinforcement learningtask allocationconflict preventionmulti-car elevators
  Summary |  Full Text:PDF (961.4KB)

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 networkcooperative spectrum sensingdecision fusionreinforcement learning
  Summary |  Full Text:PDF (346.6KB)

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 learningvalue function approximationleast-squares policy iterationoutlier1-loss functionlinear programming
  Summary |  Full Text:PDF (2.1MB)

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 synchronizationreinforcement learning
  Summary |  Full Text:PDF (837.9KB)

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 routingreinforcement learningmultivariate analysisfunction approximation
  Summary |  Full Text:PDF (372.9KB)

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 basisfunction approximationnon-linearreinforcement learningactivity
  Summary |  Full Text:PDF (393KB)

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 learningcurse of dimensionalitymultivariate analysisapproximationnonlinear
  Summary |  Full Text:PDF (334.8KB)

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 gameartificial intelligenceneural networkreinforcement learningadaptive system
  Summary |  Full Text:PDF (381.9KB)

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 systemsdecentralized controlsupervisory controlreinforcement learningoptimal control
  Summary |  Full Text:PDF (231.4KB)

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 gameartificial agentstatistics analysisgenetic algorithmreinforcement learning
  Summary |  Full Text:PDF (341KB)

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 systemreinforcement learningpartially observable MDPQ-learning
  Summary |  Full Text:PDF (255.1KB)

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 learningMarkov decision processLempel-Ziv codingdomain sizestochastic complexity
  Summary |  Full Text:PDF (328.7KB)

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 learningpiano mover's problemheterogeneous multi-agentfind-path problemobstacle avoidance
  Summary |  Full Text:PDF (1.7MB)

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 learningant colony systemmultiagent cooperatingindirect media communication
  Summary |  Full Text:PDF (411.1KB)

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 learningagent-based computational economicsexperimental economicspublic goods
  Summary |  Full Text:PDF (651.2KB)

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 learningTD algorithmstock selectionneural networkmultiple agents
  Summary |  Full Text:PDF (727.7KB)

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: 2000/06/20
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 negotiationreinforcement learningagent-based simulation
  Summary |  Full Text:PDF (717.4KB)

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: 2000/05/20
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 learningmulti-agent systemprofit-sharingconflict resolution
  Summary |  Full Text:PDF (919KB)

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: 2000/04/20
Vol. E83-D  No. 4  pp. 845-856
Type of Manuscript: PAPER
Category: Artificial Intelligence, Cognitive Science
Keyword: 
neural networks constructionartificial lifefuzzy logicgenetic algorithmreinforcement learning
  Summary |  Full Text:PDF (599.8KB)

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: 1999/12/20
Vol. E82-D  No. 12  pp. 1618-1626
Type of Manuscript: PAPER
Category: Bio-Cybernetics and Neurocomputing
Keyword: 
reinforcement learningnormalized Gaussian networkOthellomin-max strategy
  Summary |  Full Text:PDF (769.2KB)

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: 1999/11/20
Vol. E82-A  No. 11  pp. 2538-2545
Type of Manuscript: Special Section PAPER (Special Section on Concurrent Systems Technology)
Category: 
Keyword: 
multi-agent systemreinforcement learningrewardexplorationexploitation
  Summary |  Full Text:PDF (704.2KB)

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: 1999/10/20
Vol. E82-A  No. 10  pp. 2266-2273
Type of Manuscript: PAPER
Category: Artificial Intelligence and Knowledge
Keyword: 
reinforcement learningplanningreactingexplorationexploitation
  Summary |  Full Text:PDF (729.7KB)