Pedro A. Ortega

Department of Engineering, University of Cambridge, Cambridge, UK

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Algorithms for Causal Reasoning in Probability Trees

Tim Genewein, Tom McGrath, Grégoire Déletang, Vladimir Mikulik, Miljan Martic,Shane Legg,Pedro A. Ortega

Bibtex

Action and Perception as Divergence Minimization

Danijar Hafner,Pedro A. Ortega,Jimmy Ba, Thomas Parr, Karl Friston,Nicolas Heess

Cited by3Bibtex

Meta reinforcement learning as task inference

Jan Humplik, Alexandre Galashov, Leonard Hasenclever,Pedro A. Ortega,Yee Whye Teh,Nicolas Heess

arXiv: Learning, (2019)

Cited by38EIBibtex

Meta-learning of Sequential Strategies

Pedro A. Ortega,Jane X. Wang,Mark Rowland,Tim Genewein,Zeb Kurth-Nelson,Razvan Pascanu,Nicolas Heess,Joel Veness, Alexander Pritzel,Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath

arXiv: Learning, (2019)

Cited by29EIBibtex

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

Tom Everitt,Pedro A. Ortega,Elizabeth Barnes,Shane Legg

arXiv: Artificial Intelligence, (2019)

Cited by1EIBibtex

Causal Reasoning from Meta-reinforcement Learning

Ishita Dasgupta,Jane X. Wang, Silvia Chiappa, Jovana Mitrovic,Pedro A. Ortega, David Raposo,Edward Hughes,Peter Battaglia,Matthew Botvinick,Zeb Kurth-Nelson

arXiv: Learning, (2018)

EIBibtex

Modeling Friends and Foes

Pedro A. Ortega,Shane Legg

arXiv: Artificial Intelligence, (2018)

Cited by1EIBibtex

Bayesian optimistic Kullback–Leibler exploration

Kanghoon Lee, Geon-Hyeong Kim,Pedro Ortega,Daniel D. Lee,Kee-Eung Kim

Machine Learning, no. SP5 (2018): 1-19

EIBibtex

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

Natasha Jaques,Angeliki Lazaridou,Edward Hughes,Caglar Gulcehre,Pedro A. Ortega, Dj Strouse,Joel Z. Leibo,Nando de Freitas

arXiv: Learning, (2018)

Cited by90EIBibtex

Memory shapes time perception and intertemporal choices

Pedro A. Ortega,Naftali Tishby

arXiv: Neurons and Cognition, (2016)

Bibtex

Bayesian Reinforcement Learning with Behavioral Feedback

Teakgyu Hong,Jongmin Lee,Kee-Eung Kim,Pedro A. Ortega,Daniel D. Lee

IJCAI, pp.1571-1577, (2016)

Cited by2EIBibtex

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,Daniel A Braun

PloS one, no. 4 (2016): e0153179-e0153179

Cited by1WOSBibtex

Memory controls time perception and intertemporal choices

Pedro A. Ortega,Naftali Tishby

arXiv: Neurons and Cognition, (2016)

EIBibtex

Human Decision-Making under Limited Time

Pedro A. Ortega,Alan A. Stocker

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 100-108

Cited by10EIBibtex

Reactive bandits with attitude

Pedro Ortega,Kee-Eung Kim,Daniel Lee

JMLR Workshop and Conference Proceedings, (2015): 726-734

Cited by2EIBibtex

Causal reasoning in a prediction task with hidden causes

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

CogSci, (2015)

EIBibtex

Belief flows for robust online learning

Pedro A. Ortega,Koby Crammer,Daniel D. Lee

Theoretical Informatics and Applications, (2015)

EIBibtex

Belief Flows of Robust Online Learning

Pedro A. Ortega,Koby Crammer,Daniel D. Lee

CoRR, (2015)

EIBibtex

Information-Theoretic Bounded Rationality

Pedro A Ortega, Daniel A Braun, Justin Dyer,Keeeung Kim,N Tishby

CoRR, (2015)

Cited by9EIBibtex

Perceptual adaptation: Getting ready for the future

Xuexin Wei,Pedro A Ortega,Alan A Stocker

Journal of Vision, (2015)

Cited by1Bibtex

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Pedro A. OrtegaBinding

Papers50 papers

Pedro A. Ortega