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Pedro A. Ortega

Postdoc
School of Engineering and Applied Sciences
University of Pennsylvania

This is Ludwig Boltzmann (no joke). There' s something about it. Thanks to Jordi for pointing it out!

About

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'm currently on the job market for a tenure-track position. If you would like to have me around, please don't hesitate in contacting me ;-)

Research Interests

I research the foundations of Artificial Intelligence, Machine Learning and Cybernetics. I study the links between various topics such as Bayesian probability theory, information theory, stochastic control, economics, causality, statistical mechanics, ergodic theory and complexity theory. Other areas of interest are computational neuroscience, psychology and epistemology. Also, I'm a huge fan of minimalistic algorithms.

Free Energy Functional (it's also meant to be a puzzling pic)

Most of my work centers on information-theoretic and statistical mechanical approaches to adaptive control, leading to contributions in bounded rationality models and recasting adaptive control as a causal inference problem. I have also worked on causal induction, and on game- and decision-theoretic models in computational neuroscience.

To get a sense of my work, please refer to:

News (on Twitter)

Timeline of @AdaptiveAgents

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Advancing motivated learning with goal creation http://t.co/29DS1QW1gS
About 13 hours, 30 mins ago by: Pedro A. Ortega (@AdaptiveAgents)

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Value Iteration with Options and State Aggregation http://t.co/7uLBWjCYLd
About 19 hours, 30 mins ago by: Pedro A. Ortega (@AdaptiveAgents)

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"Statistics and the crisis of scientific replication" by Andrew Gelman http://t.co/ISLp6ymNqx
About 1 day, 13 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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Choosing Not to Choose: Understanding the Value of Choice http://t.co/EOcOpVHuUw
About 1 day, 19 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization http://t.co/Ivkurc1VSa
About 4 days, 13 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

Contact

Pedro A. Ortega
Department of Engineering
University of Pennsylvania
Off. 209, Moore Building
200 S. 33rd Street
Philadelphia, PA 19104

Email: ope [AT] seas.upenn.edu

Misc. Quotes

“Man is the measure of all things: of things which are, that they are, and of things which are not, that they are not” —Protagoras

“Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make matters worse: complexity sells better.” —Dijkstra (1984) On the nature of Computing Science (EWD896)

home.txt · Last modified: 2015/01/27 01:21 by peortega

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