## About Me

## Topics

Bounded Rationality

Thompson Sampling

Measure-Theoretic Causality

Bayesian Causal Induction

Arg-Max Prior

Bounded Rationality

Thompson Sampling

Measure-Theoretic Causality

Bayesian Causal Induction

Arg-Max Prior

publications

The 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

[PDF]

[1] **Ortega, P.A.**

Design of Interactive Processing Mechanisms for the Analysis of Brain Waves (in Spanish)

Dissertation, School of Physical and Mathematical Sciences, University of Chile, 2005.

[PDF]

[3] **Ortega, P.A.** and Tishby, N.

Perception of Time in Adaptive Systems, 2014

[2] Grau-Moya, J. and **Ortega, P.A.** and Braun, D.A.

Ellsberg's paradox in sensorimotor learning, 2014

[1] **Ortega, P.A.**

Subjectivity, Bayesianism, and Causality, 2014

[PDF]

[27] **Ortega, P.A.** and Kim, K.-E. and Lee, D.D.

Reactive bandits with attitude

18th International Conference on Artificial Intelligence and Statistics (AISTATS), 2015

[PDF]

[26] **Ortega, P.A.** and Crammer, K. and Lee, D.D.

Belief flows for robust online learning

Information Theory and Applications (ITA), 2015

[PDF]

[25] Wei, X.-X. and **Ortega, P.A.** and Stocker, A.A.

Perceptual adaptation: Getting ready for the future

Computational and Systems Neuroscience (Cosyne), 2015

[24] Braun, D.A. and **Ortega, P.A**

Information-theoretic bounded rationality and $ϵ$-optimality

Entropy 16(8), 4662-4676, 2014

[PDF]

[23] **Ortega, P.A.** and Lee, D.D.

An Adversarial Interpretation of Information-Theoretic Bounded Rationality

Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI '14), 2014

[PDF]

[22] **Ortega, P.A.** and Braun, D.A.

Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference

Complex Adaptive Systems Modeling 2:2, 2014

[PDF]

[21] Lee, D.D., **Ortega, P.A.** and Stocker, A.

Dynamic Belief State Representations

Current Opinion in Neurobiology 25, pp. 221–227, 2014

[PDF]

[20] **Ortega, P.A.**, Braun, D.A. and Tishby, N.

Monte Carlo Methods for Exact & Efficient Solution of the Generalized Optimality Equations

IEEE International Conference on Robotics and Automation (ICRA), 2014

[PDF]

[19] **Ortega, P.A.** and Lee, D.

An Adversarial Interpretation of Information-Theoretic Bounded Rationality

NIPS Workshop on Planning with Information Constraints, 2013

[PDF]

[18] **Ortega, P.A.** and Braun, D.A.

Thermodynamics as a theory of decision-making with information processing costs

Proceedings of the Royal Society A 20120683, 2013.

[PDF]

[17] Balduzzi D., **Ortega, P.A.** and Besserve, M.

Metabolic cost as an organizing principle for cooperative learning

Advances in Complex Systems 2013.

[PDF]

[16] **Ortega, P.A.** and Braun, D.A.

Adaptive Coding of Actions and Observations

NIPS Workshop on Information in Perception and Action, 2012.

[PDF]

[15] **Ortega, P.A.**, Grau-Moya, J., Genewein, T., Balduzzi, D. and Braun, D.A.

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

Neural Information Processing Systems (NIPS) 2012

[PDF] [CODE]

[14] Grau-Moya, J., **Ortega, P.A.** and Braun, D.A. (2012)

Risk-Sensitivity in Bayesian Sensorimotor Integration

PLOS Computational Biology 8(9): e1002698

[PDF]

[13] **Ortega, P.A.** and Braun, D.A.

Free Energy and the Generalized Optimality Equations for Sequential Decision Making

European Workshop on Reinforcement Learning 2012

[PDF]

[12] **Ortega, P.A.**

Bayesian Causal Induction

NIPS Workshop on Philosophy and Machine Learning, 2011.

[PDF]

[11] **Ortega, P.A.** and Braun, D.A.

Information, Utility and Bounded Rationality

The fourth conference on artificial general intelligence, pp. 269-274, 2011.

[PDF]

[10] **Ortega, P.A.** and Braun, D.A. and Godsill, S.J.

Reinforcement Learning and the Bayesian Control Rule

The fourth conference on artificial general intelligence, pp. 281-285, 2011.

[PDF]

[9] Braun, D.A. and **Ortega P.A.** and Wolpert D.M.

Motor coordination: When two have to act as one

2011 Special issue of Experimental Brain Research on Joint Action

[PDF]

[8] Braun, D.A. and **Ortega, P.A.** and Theodorou, E. and Schaal, S.

Path Integral Control and Bounded Rationality

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Paris.

[PDF]

[7] **Ortega, P.A.** and Braun, D.A.

A minimum relative entropy principle for learning and acting

Journal of Artificial Intelligence Research 38, pp. 475-511, 2010.

[PDF]

[6] Braun, D.A. and **Ortega, P.A.**

A minimum relative entropy principle for adaptive control in linear quadratic regulators

Proceedings of the 7th international conference on informatics in control, automation and robotics, pp. 103-108, 2010

[PDF]

[5] **Ortega, P.A.** and Braun, D.A.

A conversion between utility and information

The third conference on artificial general intelligence, pp. 115-120, 2010

[PDF]

[4] **Ortega, P.A.** and Braun, D.A.

A Bayesian rule for adaptive control based on causal interventions

The third conference on artificial general intelligence, pp. 121-126, 2010

[PDF]

[3] Braun D.A., **Ortega P.A.** & Wolpert D.M. (2009)

Nash equilibria in multi-agent motor interactions

PLoS Computational Biology 5 (8):e1000468

[PDF]

[2] Bassi, A. and **Ortega, P.A.**

Error Backpropagation with Generalized Functional Composition

Technical Report, Department of Computer Science, University of Chile (2006)

[PDF]

[1] **Ortega, P.A.** and Figueroa, C. and Ruz, G.

A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile

DMIN 2006:224-231

[PDF]

[2] **Ortega, P.A.**

Convergence of Controllable Bayesian Estimators

[1] **Ortega, P.A.**

The Foundations of Classical Artificial Intelligence

publications.txt · Last modified: 2015/03/04 22:49 by peortega