A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System

Abstract

A robust instance-based reinforcement learning (RL) approach for controlling autonomous multi-robot systems (MRS) is introduced in this chapter. Although RL has been proven to be an effective approach for behavior acquisition for an autonomous robot, it generates considerably sensitive results for the segmentation of the state and action spaces. This… (More)
DOI: 10.1007/978-3-540-69134-1_25

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