Adaptive behavioral control of collaborative robots in hazardous environments
HSI'09 Proceedings of the 2nd conference on Human System Interactions
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A novel hybrid learning technique applied to a self-learning multi-robot system
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Self-learning fuzzy logic controllers for pursuit-evasion differential games
Robotics and Autonomous Systems
Non-reciprocating Sharing Methods in Cooperative Q-Learning Environments
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Multi-criteria expertness based cooperative Q-learning
Applied Intelligence
Reduction of state space in reinforcement learning by sensor selection
Artificial Life and Robotics
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This paper presents cooperative Q learning based on the blackboard architecture. The learning process is executed at the blackboard architecture making use of all the robots in the training scenario to explore the learning space and collect experiences. Three kinds of Q value update strategies are proposed in order to deal with variation of Q value that may happen in the multi-robot learning scenario. Simulation experiments verify that the learning process converges faster and the control strategy obtained has better performance.