Back to Results
First PageMeta Content
Reinforcement learning / Markov decision process / Relational model / Decision tree learning / Learning / Automated planning and scheduling / Statistics / Machine learning / Artificial intelligence


Journal of Machine Learning Research[removed]3768 Submitted 12/10; Revised 12/11; Published[removed]Exploration in Relational Domains for Model-based Reinforcement Learning
Add to Reading List

Document Date: 2013-02-01 10:01:57

Open Document

File Size: 681,51 KB

Share Result on Facebook

City

BERLIN / /

Facility

DE Fraunhofer Institute / /

IndustryTerm

exploration algorithm / basic algorithms / relational regression algorithms / incremental relational regression tree algorithm / relational learning algorithm / exploration solutions / nearoptimal planning algorithms / feasible efficient solution / polynomial time solutions / learning algorithm / concrete exploration algorithm / seminal algorithms / /

Organization

DE Fraunhofer Institute for Intelligent Analysis and Information Systems Knowledge Discovery Department Schloss Birlinghoven / /

Person

R EX / Marc Toussaint / Tobias Lang / Mexplore / Kristian Kersting / Mexploit / T . Without / Tobias Lang Marc Toussaint / /

Position

relational planner / Germany Editor / model / transition model / rt / planner / the relational exploration-exploitation strategy / General / planner / different model / /

PublishedMedium

Journal of Machine Learning Research / /

RadioStation

KWIK / /

Technology

basic algorithms / concrete exploration algorithm / relational regression algorithms / incremental relational regression tree algorithm / artificial intelligence / RL exploration algorithm / seminal algorithms / KWIK learning algorithm / specific planning algorithm / RL algorithms / KWIK algorithms / Machine Learning / RL algorithm / relational learning algorithm / MAX algorithms / MAX algorithm / nearoptimal planning algorithms / /

SocialTag