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PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
https://mlg.eng.cam.ac.uk/pub/pdf/ParRasPetDoy18.pdf13 Feb 2023: and Pelikan, S. Competitive chaos. Journalof economic theory, 40(1):13–25, 1986. Depeweg, S., Hernández-Lobato, J. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
Gaussian Process Regression Networks Andrew Gordon Wilson∗ David A.…
https://mlg.eng.cam.ac.uk/pub/pdf/WilKnoGha11.pdf13 Feb 2023: Journal of Economic and Social Measurement, 25:59–71. Minka, T. P., Winn, J. -
Bayesian nonparametrics andthe probabilistic approach to modelling…
https://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf13 Feb 2023: Bayesian nonparametrics andthe probabilistic approach to modelling. Zoubin Ghahramani. Department of EngineeringUniversity of Cambridge, UK. zoubin@eng.cam.ac.ukhttp://mlg.eng.cam.ac.uk/zoubin. Modelling is fundamental to many fields of science and -
/users/joe/src/tops/dvips
https://mlg.eng.cam.ac.uk/pub/pdf/GhaHin00a.pdf13 Feb 2023: LETTER Communicated by Volker Tresp. Variational Learning for Switching State-Space Models. Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. We introduce a new statistical -
Max–Planck–Institut f ür biologische KybernetikMax Planck Institute…
https://mlg.eng.cam.ac.uk/pub/pdf/KusPfiCsaRas05.pdf13 Feb 2023: Max–Planck–Institut f ür biologische KybernetikMax Planck Institute for Biological Cybernetics. Technical Report No. 136. Approximate Inference forRobust Gaussian Process. Regression. Malte Kuss1, Tobias Pfingsten1,2, Lehel Csató1,Carl E. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
Efficient Reinforcement Learning using Gaussian Processes
https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf13 Feb 2023: Faculty of InformaticsInstitute for AnthropomaticsIntelligent Sensor-Actuator-Systems Laboratory (ISAS)Prof. Dr.-Ing. Uwe D. Hanebeck Sensor-Actuator-Systems. Intelligent. Efficient Reinforcement Learningusing Gaussian Processes. Marc Peter -
Unsupervised Learning Week 1: Introduction, Statistical Basics,and a…
https://mlg.eng.cam.ac.uk/zoubin/course05/lect1.pdf27 Jan 2023: Cognitive Science: computational linguistics, philosophy of mind,. • Economics: decision theory, game theory, operational research. • -
The Dynamic Beamformer Ali Bahramisharif1,2,�, Marcel A.J. van…
https://mlg.eng.cam.ac.uk/pub/pdf/BahvanSchGha12.pdf13 Feb 2023: Corresponding author. The authors gratefully acknowledge the support of the Brain-Gain Smart Mix Programme of the Netherlands Ministry of Economic Affairs andthe Netherlands Ministry of Education, Culture and Science.
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