A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments

Dalila B. Megherbi, M. Kim. A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments. In IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2015, Orlando, FL, USA, March 9-12, 2015. pages 118-124, IEEE, 2015. [doi]

Abstract

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