An Intelligent Path Selection Algorithm Based on Deep Reinforcement Learning
2021 ◽
Vol 2078
(1)
◽
pp. 012023
Keyword(s):
Abstract Path selection is the most important algorithm in intelligent devices such as robots. At present, the traditional path-planning algorithm has achieved some results, but it lacks the ability of environmental perception and continuous learning. In order to solve the above problems, this paper proposes an intelligent path selection algorithm based on deep reinforcement learning, which uses the learning ability of deep learning and the decision-making ability of reinforcement learning to realize the autonomous path planning of robots and other equipment. Simulation results show that the proposed algorithm has faster convergence, efficiency and accuracy.
Keyword(s):
2016 ◽
2014 ◽
Vol 513-517
◽
pp. 1871-1874
Keyword(s):
2013 ◽
Vol 446-447
◽
pp. 1271-1278