DocumentCode :
1747488
Title :
Learning momentum: integration and experimentation
Author :
Lee, J. Brian ; Arkin, Ronald C.
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1975
Abstract :
We further study the effects of learning momentum as defined by Arkin, Clark and Ram (1992) on robots, both simulated and real, attempting to traverse obstacle fields in order to reach a goal. Integration of these results into a large-scale software architecture, MissionLab, provides the ability to exercise these algorithms in novel ways. Insight is also sought in reference to when different learning momentum strategies should be used.
Keywords :
case-based reasoning; learning (artificial intelligence); robots; software architecture; MissionLab; case based learning; learning momentum; reinforcement learning; software architecture; Educational institutions; History; Laboratories; Large scale integration; Learning; Mobile robots; Navigation; Robot control; Software algorithms; Software architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-6576-3
Type :
conf
DOI :
10.1109/ROBOT.2001.932897
Filename :
932897
Link To Document :
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