Robot path planning in dynamic environment based on reinforcement learning

Journal of Harbin Institute of Technology (New Series)

Volumn 8, Issue 3, 2001, Pages 253-255

  Zhuang, Xiao Dong ^a   Meng, Qing Chun ^a   Wei, Tian Bin ^a   Wang, Xu Zhu ^a   Tan, Rui ^a   Li, Xiao Jing ^a  

^a OCEAN UNIVERSITY OF CHINA   (China)

Author keywords

Mobile robot; Path planning; Reinforcement learning

Indexed keywords

COMPUTER SIMULATION; DYNAMICS; LEARNING SYSTEMS; MOTION PLANNING; OPTIMIZATION; ROBOT LEARNING;

ADAPTIVE LEARNING METHOD; DYNAMIC ENVIRONMENT; REINFORCEMENT LEARNING;

MOBILE ROBOTS;

EID: 0035453640     PISSN: 10059113     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Learning from samples of one or fewer
2. Using genetic algorithms to learn reactive control parameters for autonomous robotic navigation
3. Markov games as a framework for multiagent reinforcement learning
4. Learning experiments in a heterogeneous multi-agent system
5. Finite learning by a team
6. Absorptive capacity: A new perspective on learning and innovation
7. Learning and sequential decision making
8. Action learning, action science and learning new skills