Title :
Cooperative reinforcement learning: exploring communication and cooperation problems
Author :
Oliveira e Sousa, Constanca ; Custodio, Luis
Author_Institution :
Inst. for Syst. & Robotics, Instituto Superior Tecnico, Lisboa, Portugal
Abstract :
In this paper some methods of dealing with the problem of cooperative learning in a multi-agent environment are presented. A system is developed that learns by reinforcement and deals with the problems of communication and cooperation in environments without noise.
Keywords :
learning (artificial intelligence); multi-agent systems; cooperative reinforcement learning; multi-agent environment; Accelerated aging; Costs; Decision making; Learning; Multiagent systems; Robots; Search problems; State-space methods; Stochastic processes; Working environment noise; Reinforcement Learning; communication; cooperation; multi-agent system;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on
Print_ISBN :
0-7803-9355-4
DOI :
10.1109/CIRA.2005.1554317
