Sciweavers

1166 search results - page 108 / 234
» Negotiating Using Rewards
Sort
View
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
16 years 9 days ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
INFOCOM
1998
IEEE
15 years 10 months ago
Performance Bounds for Dynamic Channel Assignment Schemes Operating under Varying Re-Use Constraints
-We derive bounds for the performance of dynamic channel assignment (DCA) schemeswhich strengthenthe existing Erlang bound. The construction of the bounds is based on a reward para...
Philip A. Whiting, Sem C. Borst
CHI
2008
ACM
16 years 6 months ago
It's Mine, Don't Touch!: interactions at a large multi-touch display in a city centre
We present data from detailed observations of CityWall, a large multi-touch display installed in a central location in Helsinki, Finland. During eight days of installation, 1199 p...
Peter Peltonen, Esko Kurvinen, Antti Salovaara, Gi...
189
Voted
ODR
2008
15 years 7 months ago
A Multi-Agent Architecture for Online Dispute Resolution Services
: Argumentation theory is often used in multi agent-systems to facilitate autonomous agent reasoning and multi-agent interaction. The technology can also be used to develop online ...
Brooke Abrahams, John Zeleznikow
CCIA
2005
Springer
15 years 11 months ago
Direct Policy Search Reinforcement Learning for Robot Control
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
Andres El-Fakdi, Marc Carreras, Narcís Palo...