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AAAI
2006
15 years 17 days ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
AGENTS
1997
Springer
15 years 3 months ago
Adaptation and Learning in Animated Creatures
This paper is concerned with synthetic agents interacting with virtual environments, called animated creatures. The animated creatures are articulated graphical gures that are eq...
Jiming Liu, Hong Qin, Yuan Yan Tang, Y. T. Wu
84
Voted
CVPR
2006
IEEE
15 years 5 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
FLAIRS
2009
14 years 9 months ago
Training to a Neural Net's Inherent Bias
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
ICIW
2009
IEEE
15 years 5 months ago
An Adaptive Scheduling Policy for Staged Applications
The performance of Web servers and application servers is a crucial factor for the success of the underlying business activity. Current commercial servers (such as Apache and Micr...
Mohammad Shadi Al Hakeem, Jan Richling, Gero M&uum...