Groups reinforcement learning algorithm Based on personality
Fei Han · Microcomputer Information · 2008
This paper presents groups reinforcement learning algorithm to RoboCup as a platform,the algorithm acts will be bundled with personalized information agent,a different personality to the role of agent as appropriate,based on common objectives,common agent may have the intention of planning common the acts in which the pursuit of individual goals and overall objectives reasonable coordination,performance analysis show that the algorithm applied to dynamic,real-time,interference,a confrontational environment.