A multi-objective decision making and learning model for increased autonomy of unmanned vehicles

AUVSI Unmanned Systems North America Conference 2008

Volumn 2, Issue , 2008, Pages 928-942

  Howard, Matthew ^a   Qu, Zhihua ^a   Conrad, Kevin ^b   Kaloust, Joseph ^b  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

^b LOCKHEED MARTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 78649942766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Michael R. Benjamin. Interval programming: A multi-objective optimization model for autonomous vehicle control. May 2002.
2. Ulrich Berger. Brown's original fictitious play. Journal of Economic Theory, 127(1):572-578, July 2007. available at http://ideas.repec.org/a/eee/ jetheo/v135y2007i1p572-578.html.
3. G. Larry Bretthorst. Bayesian Spectrum Analysis and Parameter Estimation. Springer-Verlag, 1988.
4. Geoffrey J. Gordon. No-regret algorithms for structured prediction problems. December 2005.
5. Vijaykumar Gullapalli. Reinforcement Learning and its Application to Control. PhD thesis, University of Massachusetts, 1992.
6. Tobias Karlsson. Terrain aided underwater navigation using bayesian statistics. Master's thesis, Linkoping University, 2002.
7. Steven M. LaValle. Planning Algorithms. Cambridge University Press, http://planning.cs.uiuc.edu/, 2006.
8. Zhihua Qu, Jing Wang, and Clinton E. Plaisted. A new analytical solution to mobile robot trajectory generation in the presence of moving obstacles. IEEE Transactions on Robotics, vol.20(no.6):pp.978-993, 2004.
9. Harri Valpola. Bayesian Ensemble Learning for Nonlinear Factor Analysis. PhD thesis, Helsinki University of Technology, Nov 2000.
10. H. Peyton Young. Strategic Learning and its limits. Oxford University Press, 2004.