[PDF][PDF] Bioinspired neural network-based Q-learning approach for robot path planning in unknown environments
Mobile robot path planning is a key technology in the field of robotic research and
applications. Q-learning algorithm is one of the most effective methods to solve the problem …
applications. Q-learning algorithm is one of the most effective methods to solve the problem …
BIOINSPIRED NEURAL NETWORK-BASED Q-LEARNING APPROACH FOR ROBOT PATH PLANNING IN UNKNOWN ENVIRONMENTS
J Ni, X Li, M Hua, SX Yang - International Journal of Robotics and …, 2016 - actapress.com
International Journal of Robotics and Automation, Vol. 31, No. 6, 2016 BIOINSPIRED NEURAL
NETWORK-BASED Q-LEARNING APPROACH FOR ROBOT PATH PLANNING IN UNKNOWN …
NETWORK-BASED Q-LEARNING APPROACH FOR ROBOT PATH PLANNING IN UNKNOWN …
BIOINSPIRED NEURAL NETWORK-BASED Q-LEARNING APPROACH FOR ROBOT PATH PLANNING IN UNKNOWN ENVIRONMENTS
J Ni, X Li, M Hua, SX Yang - International Journal of Robotics and …, 2016 - actapress.com
International Journal of Robotics and Automation, Vol. 31, No. 6, 2016 BIOINSPIRED NEURAL
NETWORK-BASED Q-LEARNING APPROACH FOR ROBOT PATH PLANNING IN UNKNOWN …
NETWORK-BASED Q-LEARNING APPROACH FOR ROBOT PATH PLANNING IN UNKNOWN …