Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Satoru TAKANO
A Reinforcement Learning Approach Using Reliability for Multi-Agent Systems
Transactions of the Society of Instrument and Control Engineers
Appearance of Various Macroscopic Phase Separation Structures From Polymer Blend Solution.
Kobunshi Ronbunshu
Materials Science
Polymers
Plastics
Chemical Engineering
Environmental Science
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
