Back to Results
First PageMeta Content
Stochastic control / Control theory / Logic in computer science / Partially observable Markov decision process / Fluent / Probability / Markov decision process / Statistics / Dynamic programming / Markov processes


Automatic Synthesis of Rules for Planning in Belief Space Leslie Pack Kaelbling MIT CSAIL Cambridge, MAEmail:
Add to Reading List

Document Date: 2015-05-26 14:10:44


Open Document

File Size: 205,98 KB

Share Result on Facebook

City

Norwood / /

Company

MIT Press / BT / Ablex Publishing Company / Edinburgh University Press / /

/

Event

Company Expansion / /

IndustryTerm

belief space search / near-optimal solutions / Example search tree node hold / partial search tree / computing / /

Organization

Machine Intelligence / National Science Foundation / Singapore-MIT International Design Center / MIT / Relational Artificial Intelligence / Association for the Advancement / Singapore Ministry of Education / /

Person

False / Chenggang Wang / Daphne Koller / Roni Khardon / Formal Theories / John McCarthy / Avi Pfeffer / Robert C. Moore / Luke S. Zettlemoyer / Subbarao Kambhampati / Blai Bonet / Markov / Daniel L. Ong / Stuart Russell / Daniel Bryce / Andrey Kolobov / Hanna Pasula / Hector Geffner / Leslie Pack Kaelbling / Bhaskara Marthi / Alois Knoll / Torsten Kr¨oger / Scott Sanner / RANS RULE / Leora Morgenstern / Kristian Kersting / David E. Smith / Andre Gaschler / David Sontag / Pascal Poupart / Nir Friedman / Brian Milch / Leslie Pack / Ronald Petrick / Zahra Zamani / Oussama Khatib / Patrick J. Hayes / /

Position

author / observation model for our exmaple domain / model / and / /

ProvinceOrState

New Jersey / Utah / Massachusetts / /

PublishedMedium

Journal of Artificial Intelligence Research / /

Technology

artificial intelligence / planning algorithm / /

SocialTag