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» Tracking in Reinforcement Learning
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DAGM
2007
Springer
14 years 2 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
ICALT
2008
IEEE
14 years 4 months ago
Students' Tracking Data: An Approach for Efficiently Tracking Computer Mediated Communications in Distance Learning
This paper presents an approach for closely observing the different levels of Human and Computer Interactions during student’s communication activities on Computer Mediated Comm...
Madeth May, Sébastien George, Patrick Pr&ea...
ECAL
2007
Springer
14 years 4 months ago
Guided Self-organisation for Autonomous Robot Development
Abstract. The paper presents a method to guide the self-organised development of behaviours of autonomous robots. In earlier publications we demonstrated how to use the homeokinesi...
Georg Martius, J. Michael Herrmann, Ralf Der
ICML
2005
IEEE
14 years 11 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
ICMLA
2010
13 years 8 months ago
Multimodal Parameter-exploring Policy Gradients
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...