Title :
On reinforcement learning for robots
Author :
Kaelbling, Leslie Pack
Author_Institution :
Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
Abstract :
In the paper the author considers: what reinforcement learning is; what makes reinforcement learning difficult; biasing reinforcement learning; and integrating reinforcement learning into agent architectures
Keywords :
learning (artificial intelligence); robots; agent architectures; biasing; reinforcement learning; robots; Artificial intelligence; Computer science; Dynamic programming; Genetic algorithms; Heuristic algorithms; Humans; Optimal control; Robots; Robustness; Supervised learning;
Conference_Titel :
Intelligent Robots and Systems '96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-7803-3213-X
DOI :
10.1109/IROS.1996.568987
