Cambridge University Press / Multiagent Systems / Princeton University Press / /
Country
United States / Portugal / /
Currency
pence / / /
Event
Force Majeure / Reorganization / /
Facility
Distributed Multiagent Planning Jan-P. Calliess Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University / Brown University / 15213 / USA Machine Learning Department Carnegie Mellon University / /
IndustryTerm
online model / online setup / regret-minimizing algorithms / online version / on-line prediction / distributed computing / online learning algorithms / large systems / local online convex problem / no-regret algorithms / multi-agent systems / online routing / no-regret algorithm / computing / online mode / scalar product / appropriate learning algorithms / online convex program / no-regret learning algorithm / no-regret learning algorithms / learning algorithm / learning algorithms / /
Organization
15213 / USA Machine Learning Department Carnegie Mellon University Pittsburgh / Cambridge University / Distributed Multiagent Planning Jan-P. Calliess Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Pittsburgh / Brown University / Princeton University / Carnegie Mellon / International Foundation for Autonomous Agents / U.S. Securities and Exchange Commission / Robotics Institute / /
Person
G. J. Gordon / Geoffrey J. Gordon / M. Lagoudakis / V / Guestrin / A. Greenwald / P. Calliess / Pi / Psr / M. Zinkevich / C. Marks / /
Position
Prime Minister / centralized planner / General / player / central planner / synthesized player / online model / remaining player / /
Product
Pentax K-x Digital Camera / /
PublishedMedium
Games and Economic Behavior / Machine Learning / /
No-Regret Learning and a Mechanism for Distributed Multiagent Planning Jan-P. Calliess Geoffrey J. Gordon