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IEEEPACT
2008
IEEE
15 years 3 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ACMIDC
2008
14 years 11 months ago
Sketch-based educational games: "drawing" kids away from traditional interfaces
Computer-based games and technologies can be significant aids for helping children learn. However, most computer-based games simply address the learning styles of visual and audit...
Brandon Paulson, Brian Eoff, Aaron Wolin, Joshua J...
ACL
2011
14 years 1 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
PODC
2009
ACM
15 years 10 months ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...
74
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GAMEON
2003
14 years 10 months ago
Automatic Acquisition of Actions for Animated Agents
The generation of animated human figures especially in crowd scenes has many applications in such domains as the special effects industry, computer games or for the simulation of ...
Adam Szarowicz, Marek Mittmann, Paolo Remagnino, J...