Keyword : exploitation


Reward-Based Exploration: Adaptive Control for Deep Reinforcement Learning
Zhi-xiong XU Lei CAO Xi-liang CHEN Chen-xi LI 
Publication:   
Publication Date: 2018/09/01
Vol. E101-D  No. 9 ; pp. 2409-2412
Type of Manuscript:  LETTER
Category: Artificial Intelligence, Data Mining
Keyword: 
deep reinforcement learningrewardexplorationexploitation
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Adaptive Bare Bones Particle Swarm Inspired by Cloud Model
Junqi ZHANG Lina NI Jing YAO Wei WANG Zheng TANG 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/08/01
Vol. E94-D  No. 8 ; pp. 1527-1538
Type of Manuscript:  PAPER
Category: Fundamentals of Information Systems
Keyword: 
particle swarm optimizerhybrid uniform distributionexploitationexplorationsearch strategy
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AMT-PSO: An Adaptive Magnification Transformation Based Particle Swarm Optimizer
Junqi ZHANG Lina NI Chen XIE Ying TAN Zheng TANG 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/04/01
Vol. E94-D  No. 4 ; pp. 786-797
Type of Manuscript:  PAPER
Category: Fundamentals of Information Systems
Keyword: 
particle swarm optimizermagnification transformationexploitationexplorationsearch strategyadaptive
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Hybrid Uniform Distribution of Particle Swarm Optimizer
Junqi ZHANG Ying TAN Lina NI Chen XIE Zheng TANG 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2010/10/01
Vol. E93-A  No. 10 ; pp. 1782-1791
Type of Manuscript:  PAPER
Category: VLSI Design Technology and CAD
Keyword: 
particle swarm optimizerhybrid uniform distributionexploitationexplorationsearch 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 systemreinforcement learningrewardexplorationexploitation
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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 learningplanningreactingexplorationexploitation
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