A reinforcement learning system with chaotic neural networks-based adaptive hierarchical memory structure for autonomous robots

Human learns incidents by own actions and reflects them on the subsequent action as own experiences. These experiences are memorized in his brain and recollected if necessary. This research incorporates such an intelligent information processing mechanism, and applies it to an autonomous agent that has three main functions: learning, memorization and… CONTINUE READING