Reinforcement learning with function approximation for cooperative navigation tasks

— In this paper, we propose a reinforcement learning approach to address multi-robot cooperative navigation tasks in infinite settings. We propose an algorithm to simultaneously address the problems of learning and coordination in multirobot problems. The proposed algorithm extends those existing in the literature, allowing to address simultaneous learning and coordination in problems with an infinite state-space. We also present the results obtained in several test scenarios featuring multi-robot navigation situations with partial observability.

• Type: Conference
• Year: 2008
• Where: ICRA
• Authors: Francisco S. Melo, M. Isabel Ribeiro
• Keywords: ICRA 2008, Multi-robot Cooperative Navigation, Multi-robot Navigation Situations, Reinforcement Learning Approach, Robotics