IEICE Trans

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 learning, reward, exploration, exploitation,
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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 optimizer, hybrid uniform distribution, exploitation, exploration, search 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 optimizer, magnification transformation, exploitation, exploration, search strategy, adaptive,
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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 optimizer, hybrid uniform distribution, exploitation, exploration, search 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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