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ATAL
2006
Springer
14 years 29 days ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
WSC
2007
13 years 11 months ago
Communication and process simulation of set-based design for concrete reinforcement
Two discrete-event simulations are developed to assess the feasibility of improving the delivery process of reinforced concrete structures. The simulations represent the resource ...
John-Michael Wong, Kristen Parrish, Iris D. Tommel...
WSC
2007
13 years 11 months ago
Defense and homeland security applications of multi-agent simulations
Department of Defense and Homeland Security analysts are increasingly using multi-agent simulation (MAS) to examine national security issues. This paper summarizes three MAS natio...
Thomas W. Lucas, Susan M. Sanchez, Felix Martinez,...
WSC
2007
13 years 11 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
WSC
2008
13 years 11 months ago
Incorporating information networks into military simulations
Information superiority is considered a critical capability for future joint forces. As advances in technology continue to boost our ability to communicate in new and different wa...
Darryl K. Ahner, Jonathon K. Alt, Francisco Baez, ...