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Pedro A. Ortega [Pedro A. Ortega]

Pedro A. Ortega. 2 bayesian control rule. Pedro A. Ortega. Pedro A. Ortega. School of Engineering and Applied Sciences. I am a postdoc. At the University of Pennsylvania. I got my PhD in Engineering from the University of Cambridge and my BSc/Diploma in Computer Engineering from the University of Chile. My background is mainly in Physics, Mathematics and Computer Science. I research the foundations of Artificial Intelligence, Machine Learning and Cybernetics. To get a sense of my work, please refer to:.

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Pedro A. Ortega [Pedro A. Ortega] | adaptiveagents.org Reviews

https://adaptiveagents.org

Pedro A. Ortega. 2 bayesian control rule. Pedro A. Ortega. Pedro A. Ortega. School of Engineering and Applied Sciences. I am a postdoc. At the University of Pennsylvania. I got my PhD in Engineering from the University of Cambridge and my BSc/Diploma in Computer Engineering from the University of Chile. My background is mainly in Physics, Mathematics and Computer Science. I research the foundations of Artificial Intelligence, Machine Learning and Cybernetics. To get a sense of my work, please refer to:.

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Photos/Drawings [Pedro A. Ortega]

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Pedro A. Ortega. 2 bayesian control rule. Pedro Ortega at NIH. With C. Bishop and Z. Ghahramani. Drawings.txt Last modified: 2015/01/26 11:06 by peortega.

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Publications [Pedro A. Ortega]

http://www.adaptiveagents.org/publications

Pedro A. Ortega. 2 bayesian control rule. Articles and Conference Papers. Denotes my favourite or most representative works. 2] Ortega, P.A. A Unified Framework for Resource-Bounded Autonomous Agents Interacting with Unknown Environments. PhD Thesis, Dept. of Engineering, University of Cambridge, 2011. Thesis supervisor: Zoubin Ghahramani. Thesis committee: Marcus Hutter. And Carl E. Rasmussen. 1] Ortega, P.A. Design of Interactive Processing Mechanisms for the Analysis of Brain Waves (in Spanish). A bou...

3

Thompson Sampling & Bayesian Control Rule [Pedro A. Ortega]

http://www.adaptiveagents.org/bayesian_control_rule

Pedro A. Ortega. 2 bayesian control rule. Thompson Sampling and Bayesian Control Rule. What is a causal intervention? Applications to Adaptive Control. Evaluating the Causal Expression. References (In Reverse Chronological Order). Thompson Sampling and Bayesian Control Rule. Also check out the MDP. And the Belief Flows. It only got that name later in Chappelle and Li's superb 2011 paper. The Bayesian control rule. Is an extension to Bayes' Rule. Observing = conditioning) and doing. And why do we need it?

4

Information-Theoretic Bounded Rationality [Pedro A. Ortega]

http://www.adaptiveagents.org/freeenergy

Pedro A. Ortega. 2 bayesian control rule. Bounded Rational Decision Theory. Check out our latest summary paper:. Ortega, P.A. Braun, D.A., Dyer, J.S., Kim, K.-E., and Tishby, N. ArXiv:1512.06789, 2015. Is an active field of research in economics with important implications not only to behavioural economics, but also to computational neuroscience and especially artificial intelligence. In artificial intelligence, such a theory would provide a principled basis for the construction of controllers under ...

5

Measure-Theoretic Causality [Pedro A. Ortega]

http://www.adaptiveagents.org/causality

Pedro A. Ortega. 2 bayesian control rule. Set of (States of) Realisations: Axioms. Choosing the laws of physics. My super-old causality slides can be found here. Ortega, P.A. Subjectivity, Bayesianism, and Causality. Special Issue on Philosophical Aspects of Pattern Recognition. Pattern Recognition Letters, pp. 63-70, 2015. The paper discusses the relationship between agency and probability theory. It then introduces an abstract formalisation of causal dependencies in measure-theoretic. Appendix B: Final...

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Talk @ GRASP lab, UPenn and UAI 2016 – Tim Genewein

http://tim.inversetemperature.net/Talk-GRASP_UPenn

Information-optimal hierarchies for inference and decision-making. Bosch Center for Artificial Intelligence. Stuttgart - Renningen, Germany. June 20, 2016. Talk @ GRASP lab, UPenn and UAI 2016. Genewein T, Grau-Moya J (2016) GRASP Special Seminar: Decision-Making with Information Constraints: Free Energy Foundations and Applications, UPenn Philadelphia. And I gave a special seminar at the GRASP lab. This work will be presented in a talk at ECML 2016. Pages for more information or alternatively this paper.

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Pedro A. Ortega [Pedro A. Ortega]

Pedro A. Ortega. 2 bayesian control rule. Pedro A. Ortega. Pedro A. Ortega. School of Engineering and Applied Sciences. I am a postdoc. At the University of Pennsylvania. I got my PhD in Engineering from the University of Cambridge and my BSc/Diploma in Computer Engineering from the University of Chile. My background is mainly in Physics, Mathematics and Computer Science. I research the foundations of Artificial Intelligence, Machine Learning and Cybernetics. To get a sense of my work, please refer to:.

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