1A1-F10 Neural Network Reinforcement Learning for Different-Species Sensor Integration(Evolution and Learning for Robotics(1))

Abstract

This paper proposes a new reinforcement learning algorithm which can learn in the multi-dimensional input spaces containing different-species sensors by means of CMAC and neural networks. We apply the proposed method to a robot arm reaching problem and verify the effectivity of the proposed method.