Hybrid learning approach based on adaptive resonance theory and reinforcement learning for computer generated agents
Computer simulation, Neural networks (Computer science) -- Computer simulation
This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by downloading and filling out the Internet Distribution Consent Agreement. You may also contact the project coordinator Kerri Bottorff for more information.
Doctor of Philosophy (Ph.D.)
College of Engineering and Computer Science
Industrial Engineering and Management Systems
Length of Campus-only Access
Doctoral Dissertation (Open Access)
Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic
Ninomiya, Susumu, "Hybrid learning approach based on adaptive resonance theory and reinforcement learning for computer generated agents" (2002). Retrospective Theses and Dissertations. 1633.