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Conclusions and Future Directions
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Conclusions and Future Directions
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Conclusions and Future Directions
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Book Chapter
Conclusions and Future Directions
2020
Overview
This chapter concludes the book. The book identifies a few fundamental problems in multi‐robot coordination and proposes solutions to handle these problems by extending the traditional evolutionary algorithm (EA) and multi‐agent Q‐learning. It provides the preliminaries of Reinforcement Learning and EA in view of the multirobot coordination. The book proposes useful characteristic properties for exploration of the team‐goal and joint action selection in multi‐agent system. It also proposes a novel Consensus Q‐learning algorithm for multirobot cooperative planning. The book introduces a novel approach to correlated Q‐learning and subsequent multi‐robot planning. It also introduces a novel approach for efficiently employing both Imperialist Competitive Algorithm and Firefly Algorithm to develop a hybrid algorithm with an aim to utilize the composite benefits of the explorative and exploitative capabilities of both ancestor algorithms.
Publisher
Wiley,John Wiley & Sons, Incorporated,John Wiley & Sons, Inc
Subject
ISBN
9781119699033, 1119699037
