Pedro A. Ortega

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Subjectivity, Bayesianism, and causality pdf

Pedro A. Ortega, 2014, Pattern Recognit. Lett..

A Minimum Relative Entropy Principle for Learning and Acting

Daniel A. Braun, Pedro A. Ortega, D. Braun, 2008, J. Artif. Intell. Res..

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

Jordi Grau-Moya, Daniel A. Braun, David Balduzzi, 2012, NIPS.

Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference

Daniel A. Braun, Pedro A. Ortega, 2014, Complex Adapt. Syst. Model..

Risk-Sensitivity in Bayesian Sensorimotor Integration

Jordi Grau-Moya, Daniel A. Braun, Pedro A. Ortega, 2012, PLoS Comput. Biol..

Action and Perception as Divergence Minimization pdf

Karl J. Friston, Thomas Parr, Karl Friston, 2020, ArXiv.

Information-Theoretic Bounded Rationality pdf

Kee-Eung Kim, Daniel A. Braun, Naftali Tishby, 2015, ArXiv.

Convergence of Bayesian Control Rule pdf

Daniel A. Braun, Pedro A. Ortega, 2010, ArXiv.

Modeling Friends and Foes pdf

Shane Legg, Pedro A. Ortega, S. Legg, 2018, ArXiv.

Reinforcement Learning and the Bayesian Control Rule

Simon J. Godsill, Daniel A. Braun, Pedro A. Ortega, 2011, AGI.

Meta-learning of Sequential Strategies pdf

Yee Whye Teh, Razvan Pascanu, Nando de Freitas, 2019, ArXiv.

Memory shapes time perception and intertemporal choices

Naftali Tishby, Pedro A. Ortega, Naftali Tishby, 2016, 1604.05129.

Information, Utility and Bounded Rationality

Daniel A. Braun, Pedro A. Ortega, D. Braun, 2011, AGI.

Metabolic Cost as an Organizing Principle for Cooperative Learning

David Balduzzi, Pedro A. Ortega, Michel Besserve, 2012, Adv. Complex Syst..

Adaptive Coding of Actions and Observations

Daniel A. Braun, Pedro A. Ortega, 2012, NIPS 2012.

A Bayesian Rule for Adaptive Control based on Causal Interventions pdf

Daniel A. Braun, Pedro A. Ortega, 2009, AGI 2010.

Path integral control and bounded rationality

Stefan Schaal, Daniel A. Braun, Evangelos Theodorou, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings pdf

Shane Legg, Tom Everitt, Pedro A. Ortega, 2019, ArXiv.

Human Decision-Making under Limited Time

Alan A. Stocker, Pedro A. Ortega, A. Stocker, 2016, NIPS.

A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes pdf

Daniel A. Braun, Pedro A. Ortega, 2010, ArXiv.

Bayesian Causal Induction pdf

Pedro A. Ortega, 2011, NIPS 2011.

Generalized Thompson sampling for sequential decision-making and causal inference

Daniel A. Braun, Pedro A. Ortega, D. Braun, 2013, Complex Adapt. Syst. Model..

Belief flows for robust online learning

Koby Crammer, Daniel D. Lee, Pedro A. Ortega, 2015, 2015 Information Theory and Applications Workshop (ITA).

Thermodynamics as a theory of bounded rational decision-making

Daniel A. Braun, Pedro A. Ortega, 2012 .

Information-Theoretic Bounded Rationality and ε-Optimality

Daniel A. Braun, Pedro A. Ortega, D. Braun, 2014, Entropy.

Algorithms for Causal Reasoning in Probability Trees pdf

Shane Legg, Pedro A. Ortega, Tim Genewein, 2020, ArXiv.

An Adversarial Interpretation of Information-Theoretic Bounded Rationality

Daniel D. Lee, Pedro A. Ortega, 2014, AAAI.

Reactive bandits with attitude

Kee-Eung Kim, Daniel D. Lee, Pedro A. Ortega, 2015, AISTATS.

A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators

Daniel A. Braun, Pedro A. Ortega, 2010, ICINCO.

Causal Reasoning from Meta-reinforcement Learning pdf

Zeb Kurth-Nelson, Silvia Chiappa, Matthew Botvinick, 2019, ArXiv.

Monte Carlo methods for exact & efficient solution of the generalized optimality equations

Daniel A. Braun, Naftali Tishby, Pedro A. Ortega, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Free Energy and the Generalized Optimality Equations for Sequential Decision Making pdf

Daniel A. Braun, Pedro A. Ortega, 2012, EWRL 2012.

Information, Utility & Bounded Rationality pdf

Daniel A. Braun, Pedro A. Ortega, D. Braun, 2011, ArXiv.

Causal reasoning in a prediction task with hidden causes

Alan A. Stocker, Daniel D. Lee, Pedro A. Ortega, 2015, CogSci.

An axiomatic formalization of bounded rationality based on a utility-information equivalence pdf

Daniel A. Braun, Pedro A. Ortega, 2010, ArXiv.

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

Pedro A. Ortega, Gonzalo A. Ruz, Cristián J. Figueroa, 2006, DMIN.

A conversion between utility and information pdf

Daniel A. Braun, Pedro A. Ortega, 2009, AGI 2010.

AI Safety Gridworlds pdf

Laurent Orseau, Shane Legg, Tom Everitt, 2017, ArXiv.

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

Nando de Freitas, Joel Z. Leibo, Natasha Jaques, 2018, ICML.

Bayesian Reinforcement Learning with Behavioral Feedback

Kee-Eung Kim, Daniel D. Lee, Jongmin Lee, 2016, IJCAI.

Nash Equilibria in Multi-Agent Motor Interactions

Daniel A. Braun, Daniel M. Wolpert, Pedro A. Ortega, 2009, PLoS Comput. Biol..

Memory controls time perception and intertemporal choices pdf

Naftali Tishby, Pedro A. Ortega, Naftali Tishby, 2016, ArXiv.

Meta reinforcement learning as task inference pdf

Yee Whye Teh, Nicolas Heess, Alexandre Galashov, 2019, ArXiv.

Meta-trained agents implement Bayes-optimal agents pdf

Shane Legg, Pedro A. Ortega, Tim Genewein, 2020, NeurIPS.

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL pdf

Nando de Freitas, Joel Z. Leibo, Natasha Jaques, 2018, ArXiv.

Motor coordination: when two have to act as one

Daniel A. Braun, Daniel M. Wolpert, Pedro A. Ortega, 2011, Experimental Brain Research.

Causal Analysis of Agent Behavior for AI Safety pdf

Shane Legg, Jordi Grau-Moya, Pedro A. Ortega, 2021, ArXiv.

Shaking the foundations: delusions in sequence models for interaction and control pdf

Nando de Freitas, Shane Legg, Joel Veness, 2021, ArXiv.

Model-Free Risk-Sensitive Reinforcement Learning pdf

Shane Legg, Jordi Grau-Moya, Rob Brekelmans, 2021, ArXiv.

410 ? ? ? ? ? ? ? ? Swap Right White

Pedro A. Ortega, A. Stocker, P. A. Ortega, 2015 .

Meta-reinforcement learning of causal strategies

Pedro A. Ortega, Jane X. Wang, M. Botvinick, 2019 .

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

Daniel A. Braun, Pedro A. Ortega, D. Braun, 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Free Energy & Bounded Rationality

Pedro A. Ortega, D. Braun, 2012 .

Erratum to: Motor coordination: when two have to act as one

Pedro A. Ortega, D. Wolpert, D. Braun, 2011, Experimental Brain Research.

Neural Networks and the Chomsky Hierarchy

Pedro A. Ortega, S. Legg, Marcus Hutter, 2022, ArXiv.

Your Policy Regularizer is Secretly an Adversary

Pedro A. Ortega, S. Legg, Tim Genewein, 2022, Trans. Mach. Learn. Res..

Neural Networks and the Chomsky Hierarchy

Pedro A. Ortega, S. Legg, Marcus Hutter, 2022, ArXiv.

Beyond Bayes-optimality: meta-learning what you know you don't know

Pedro A. Ortega, Jane X. Wang, J. Veness, 2022, ArXiv.

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization pdf

Georgios Piliouras, Neil Burch, David Balduzzi, 2020, ICML.

Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context. Experiments and an Information-Theoretic Ambiguity Model

Jordi Grau-Moya, Pedro A. Ortega, Pedro A Ortega, 2016, PloS one.

A Unified Framework for Resource-Bounded Autonomous Agents Interacting with Unknown Environments

Pedro A. Ortega, Pedro Alejandro Ortega, 2011 .

Action and Perception as Divergence Minimization

Karl J. Friston, Pedro A. Ortega, Jimmy Ba, 2020, ArXiv.

Neural Networks and the Chomsky Hierarchy

Pedro A. Ortega, S. Legg, Marcus Hutter, 2022, ICLR.

Agent Incentives: A Causal Perspective

Pedro A. Ortega, S. Legg, Tom Everitt, 2021, AAAI.

Dynamic belief state representations

Daniel D. Lee, Pedro A. Ortega, Alan A Stocker, 2014, Current Opinion in Neurobiology.

Dynamic belief state representations

Daniel D. Lee, Pedro A. Ortega, A. Stocker, 2014, Current Opinion in Neurobiology.

Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings

Pedro A. Ortega, S. Legg, Tom Everitt, 2019, 1902.09980.

Motor coordination: when two have to act as one

Daniel A. Braun, Pedro A. Ortega, D. Wolpert, 2011, Experimental Brain Research.

Logic, Reasoning under Uncertainty and Causality

Pedro A. Ortega, 2010, 1008.2780.

Causal reasoning in a prediction task with hidden causes

Daniel D. Lee, Pedro A. Ortega, A. Stocker, 2015, CogSci.