PERCEPTION
Research on Reinforcement Learning Algorithm for Path Planning of Multiple Mobile Robots
Ya Xu
- Year
- 2021
- Citations
- 2
- Access
- Open access
Abstract
Abstract Reinforcement learning algorithm can better accelerate the alternately between the robot and the environment, accelerate the robot through trial and error iterative reinforcement learning process, and automatically carry out state assessment, so as to realize the gradual perception and learning of the environment, so it has important research value. Based on this, this paper first analyses the path planning of multiple mobile robots, then studies the model and function of reinforcement learning algorithm, and finally gives the path planning of multiple mobile robots based on reinforcement learning algorithm.
Keywords
Reinforcement learningMobile robotComputer scienceRobotMotion planningRobot learningPath (computing)Artificial intelligenceBellman equationLearning classifier system
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002