Missile defense and interceptor allocation by neuro-dynamic programming

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

Volumn 30, Issue 1, 2000, Pages 42-51

  Bertsekas, Dimitri P ^a,b   Homer, Mark L ^c   Logan, David A ^a,d   Patek, Stephen D ^a,e   Sandell, Nils R ^a,d  

^a IEEE

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c BIOGEN   (United States)

^d BAE SYSTEMS   (United Kingdom)

^e University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; DYNAMIC PROGRAMMING; LEARNING SYSTEMS; MATHEMATICAL MODELS; MILITARY ELECTRONIC COUNTERMEASURES; NEURAL NETWORKS; RESOURCE ALLOCATION;

COST TO GO FUNCTION; INTERCEPTOR ALLOCATION; MARKOVIAN DECISION PROBLEM; MISSILE DEFENSE; NEURO DYNAMIC PROGRAMMING; REINFORCEMENT LEARNING METHODS; THEATER MISSILE DEFENSE;

MISSILES;

EID: 0033904264     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/3468.823480     Document Type: Article

References (13)

1. D. P. Bertsekas, Dynamic Programming and Optimal Control: Vol. 2. Belmont, MA: Athena, 1995.
2. D. P. Bertsekas and J. N. Tsitsiklis, Neuro-Dynamic Programming. Belmont, MA: Athena, 1996.
3. R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press, 1998.
4. A. G. Barto, S. J. Bradtke, and S. P. Singh, "Learning to act using real-time dynamic programming," J. Artif. Intell., 1995.
5. D. P. Bertsekas and J. N. Tsitsiklis, Parallel and Distributed Computation: Numerical Methods. Englewood Cliffs, NJ: Prentice-Hall, 1989.
6. _, "Analysis of stochastic shortest path problems, "Math. Oper. Res., vol. 16, no. 3, pp. 580-595, 1991.
7. M. L. Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming. New York: Wiley, 1994.
8. R. J. Williams and L. C. Baird, "Analysis of some incremental variants of policy iteration: First steps toward understanding actor-critic learning systems," Coll. Comput. Sci., Northeastern University, Boston, MA, Rep. NU-CCS-93-11, 1993.
9. R. S. Sutton, "Learning to predict by the methods of temporal differences," Mach. Learn., vol. 3, pp. 9-44, 1994.
10. D. P. Bertsekas, Nonlinear Programming. Belmont, MA: Athena, 1995.
11. J. N. Tsitsiklis and B. V. Roy, "Analysis of temporal-difference learning with function approximation," Lab. Inform. Decision Syst., Mass. Inst. Technol., Cambridge, Tech. Rep. LIDS-P-2322, 1996.
12. D. P. Bertsekas, "A counterexample to temporal differences learning," Neural Comput., vol. 7, pp. 270-279, 1995.
13. G. J. Tesauro, "Practical issues in temporal differences learning," Mach. Learn., vol. 8, pp. 257-277, 1992.