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Publications by Kazuaki YAMADA
A Reinforcement Learning Approach Using Reliability for Multi-Agent Systems
Transactions of the Society of Instrument and Control Engineers
Network Parameter Setting for Reinforcement Learning Approaches Using Neural Networks
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
Related publications
A New Approach in Learning for Intelligent Multi Agent Systems
Multi-Agent Reinforcement Learning in Games
Multi-Agent Cooperation Models by Reinforcement Learning (MCMRL)
International Journal of Computer Applications
Multi-Agent Inverse Reinforcement Learning for Certain General-Sum Stochastic Games
Journal of Artificial Intelligence Research
Artificial Intelligence
Approximation of Agent Dynamics Using Reinforcement Learning
A New Approach of Designing Multi-Agent Systems
International Journal of Advanced Computer Science and Applications
Computer Science
A Multi-Agent Approach to Electric Power Systems
Hysteretic Q-Learning :An Algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams
Erratum To: A Multi-Agent Cooperative Reinforcement Learning Model Using a Hierarchy of Consultants, Tutors and Workers
Vietnam Journal of Computer Science
