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AROBOTS
1999
104views more  AROBOTS 1999»
14 years 11 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
BCSHCI
2009
14 years 9 months ago
Virtual world users evaluated according to environment design, task based and affective attention measures
This paper presents research that engages with virtual worlds for education users to understand design of these applications for their needs. An in-depth multi-method investigatio...
Breen Sweeney, Anne Adams
ATC
2010
Springer
14 years 10 months ago
Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace
Co-Space refers to interactive virtual environment modelled after the real world we are situated in. Through realistic 3D modelling and animation technologies, Co-Space simulates t...
Ah-Hwee Tan, Yilin Kang
AUTONOMICS
2008
ACM
15 years 1 months ago
MWM: a map-based world model for wireless sensor networks
A prominent functionality of a Wireless Sensor Network (WSN) is environmental monitoring. For this purpose the WSN creates a model for the real world by using abstractions to pars...
Abdelmajid Khelil, Faisal Karim Shaikh, Brahim Aya...
CVPR
2007
IEEE
16 years 1 months ago
Change Detection in a 3-d World
This paper examines the problem of detecting changes in a 3-d scene from a sequence of images, taken by cameras with arbitrary but known pose. No prior knowledge of the state of n...
Thomas Pollard, Joseph L. Mundy