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» Randomness, Stochasticity and Approximations
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QEST
2007
IEEE
16 years 11 days ago
Automated Analysis of Simulation Traces - Separating Progress from Repetitive Behavior
Among the many stages of a simulation study, debugging a simulation model is the one that is hardly reported on but that may consume a considerable amount of time and effort. In t...
Peter Kemper, Carsten Tepper
ESA
2007
Springer
125views Algorithms» more  ESA 2007»
16 years 7 days ago
Pricing Tree Access Networks with Connected Backbones
Consider the following network subscription pricing problem. We are given a graph G = (V, E) with a root r, and potential customers are companies headquartered at r with locations...
Vineet Goyal, Anupam Gupta, Stefano Leonardi, R. R...
HYBRID
2007
Springer
16 years 7 days ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 11 months ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
189
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ECML
2005
Springer
15 years 11 months ago
Natural Actor-Critic
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
Jan Peters, Sethu Vijayakumar, Stefan Schaal