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EWRL
2008
15 years 5 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
Verena Heidrich-Meisner, Christian Igel
79
Voted
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
15 years 5 months ago
Robust grey-box closed-loop stop-and-go control
This paper presents a robust stop-and-go control law, especially well adapted to car following scenarios in urban environments. Since many vehicle/road interaction factors (road sl...
Jorge Villagra, Brigitte d'Andréa-Novel, Mi...
ICML
2010
IEEE
15 years 4 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
FORMATS
2010
Springer
15 years 1 months ago
Robust Satisfaction of Temporal Logic over Real-Valued Signals
Abstract. We consider temporal logic formulae specifying constraints in continuous time and space on the behaviors of continuous and hybrid dynamical system admitting uncertain par...
Alexandre Donzé, Oded Maler
INFOCOM
2003
IEEE
15 years 9 months ago
A Framework for Incremental Deployment Strategies for Router-Assisted Services
— Incremental deployment of a new network service or protocol is typically a hard problem, especially when it has to be deployed in the routers. First, an incrementally deployabl...
Xinming He, Christos Papadopoulos, Pavlin Radoslav...