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ICML
2006
IEEE
16 years 8 months ago
Using inaccurate models in reinforcement learning
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng
BROADNETS
2007
IEEE
16 years 1 months ago
Modeling and generating TCP application workloads
Abstract — In order to perform valid experiments, traffic generators used in network simulators and testbeds require up to date models of traffic as it exists on real network lin...
Félix Hernández-Campos, Kevin Jeffay...
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
16 years 1 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
ESEC
1999
Springer
15 years 11 months ago
The CIP Method: Component- and Model-Based Construction of Embedded Systems
CIP is a model-based software development method for embedded systems. The problem of constructing an embedded system is decomposed into a functional and a connection problem. The ...
Hugo Fierz
CVPR
2004
IEEE
16 years 9 months ago
Restoration of Curved Document Images through 3D Shape Modeling
In this paper, we address the problem of discovering the 3D shape of a book surface from the shading information in a scanned document image. This shapefrom-shading problem is cha...
Zheng Zhang 0003, Chew Lim Tan, Liying Fan