Back to Results
First PageMeta Content
Artificial intelligence / Computational neuroscience / Reinforcement learning / Simulation / Q-learning / Temporal difference learning / Game theory / Machine learning / Reinforcement / Statistics / Science / Mathematics


Machine Learning for Adversarial Agent Microworlds
Add to Reading List

Document Date: 2013-01-15 18:49:06


Open Document

File Size: 763,75 KB

Share Result on Facebook

City

Washington / DC / Canberra / ICCRTS / /

Company

Wellman / Kaelbling L.P. / Neural Networks / Nova Science Publishers Inc. / MIT Press / Discrete-Event Systems / Russell / Baxter / AAAI Press / /

Country

Australia / /

/

Facility

Swedish National Defence College / INTRODUCTION During Carnegie Mellon University's Robotics Institute / University of Massachusetts / km square / /

IndustryTerm

minimax search / reinforcement learning algorithms / game tree search / large applications / control systems / ply search depths / large scale systems / software development / search depth / /

MarketIndex

Russell 2000 / /

NaturalFeature

Difference Island / /

Organization

Carnegie Mellon University's Robotics Institute / Control Division / DSTO Command / Department of Computer Science / MIT / 10th International Command / Australian Government / University of Massachusetts / Amherst / Control Research and Technology Symposium / Research Council / Swedish National Defence College / 5th International Command / /

Person

Albert Publ / Morgan-Kaufman Publ / Raj Reddy / Jan Kuylenstierna / Ai / Marvin Zelkowitz / /

Position

editor / king / Governor / general strategic thought / generalised scientific model for microworlds / /

ProvinceOrState

Rhode Island / Florida / Massachusetts / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Journal of Artificial Intelligence Research / /

Technology

Nash-Q algorithm / MAXQ algorithm / reinforcement learning algorithms / WOLF algorithm / artificial intelligence / TDLeaf algorithm / MAXQ-Q algorithm / Machine Learning / simulation / pdf / /

URL

http /

SocialTag