Pedro A. Ortega

63 papers A* 8A 1B 1Misc 1Journal 47Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Notes on the Reward Representation of Posterior Updates. CoRR Pedro A. Ortega
2023	A*	`conf`	Neural Networks and the Chomsky Hierarchy. ICLR Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega
2022	J	`jnl`	Beyond Bayes-optimality: meta-learning what you know you don't know. CoRR Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane X. Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro A. Ortega
2022	J	`jnl`	Neural Networks and the Chomsky Hierarchy. CoRR Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Marcus Hutter, Shane Legg, Pedro A. Ortega
2022	J	`jnl`	Your Policy Regularizer is Secretly an Adversary. CoRR Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro A. Ortega
2022	J	`jnl`	Your Policy Regularizer is Secretly an Adversary. Trans. Mach. Learn. Res. Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro A. Ortega
2021	A*	`conf`	Agent Incentives: A Causal Perspective. AAAI Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg
2021	J	`jnl`	Agent Incentives: A Causal Perspective. CoRR Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg
2021	J	`jnl`	Causal Analysis of Agent Behavior for AI Safety. CoRR Grégoire Delétang, Jordi Grau-Moya, Miljan Martic, Tim Genewein, Tom McGrath, Vladimir Mikulik, Markus Kunesch, Shane Legg, Pedro A. Ortega
2021	A*	`conf`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. ICML Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls
2021	J	`jnl`	Model-Free Risk-Sensitive Reinforcement Learning. CoRR Grégoire Delétang, Jordi Grau-Moya, Markus Kunesch, Tim Genewein, Rob Brekelmans, Shane Legg, Pedro A. Ortega
2021	J	`jnl`	Shaking the foundations: delusions in sequence models for interaction and control. CoRR Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg
2020	J	`jnl`	Action and Perception as Divergence Minimization. CoRR Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess
2020	J	`jnl`	Algorithms for Causal Reasoning in Probability Trees. CoRR Tim Genewein, Tom McGrath, Grégoire Delétang, Vladimir Mikulik, Miljan Martic, Shane Legg, Pedro A. Ortega
2020	J	`jnl`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. CoRR Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls
2020	A*	`conf`	Meta-trained agents implement Bayes-optimal agents. NeurIPS Vladimir Mikulik, Grégoire Delétang, Tom McGrath, Tim Genewein, Miljan Martic, Shane Legg, Pedro A. Ortega
2020	J	`jnl`	Meta-trained agents implement Bayes-optimal agents. CoRR Vladimir Mikulik, Grégoire Delétang, Tom McGrath, Tim Genewein, Miljan Martic, Shane Legg, Pedro A. Ortega
2019	J	`jnl`	Bayesian optimistic Kullback-Leibler exploration. Mach. Learn. Kanghoon Lee, Geon-Hyeong Kim, Pedro A. Ortega, Daniel D. Lee, Kee-Eung Kim
2019	J	`jnl`	Causal Reasoning from Meta-reinforcement Learning. CoRR Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew M. Botvinick, Zeb Kurth-Nelson
2019	J	`jnl`	Meta reinforcement learning as task inference. CoRR Jan Humplik, Alexandre Galashov, Leonard Hasenclever, Pedro A. Ortega, Yee Whye Teh, Nicolas Heess
2019	J	`jnl`	Meta-learning of Sequential Strategies. CoRR 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, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg
2019	A*	`conf`	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2019	J	`jnl`	Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings. CoRR Tom Everitt, Pedro A. Ortega, Elizabeth Barnes, Shane Legg
2018	J	`jnl`	Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2018	J	`jnl`	Modeling Friends and Foes. CoRR Pedro A. Ortega, Shane Legg
2017	J	`jnl`	AI Safety Gridworlds. CoRR Jan Leike, Miljan Martic, Victoria Krakovna, Pedro A. Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, Shane Legg
2016	A*	`conf`	Bayesian Reinforcement Learning with Behavioral Feedback. IJCAI Teakgyu Hong, Jongmin Lee, Kee-Eung Kim, Pedro A. Ortega, Daniel D. Lee
2016	—	`conf`	Human Decision-Making under Limited Time. NIPS Pedro A. Ortega, Alan A. Stocker
2016	J	`jnl`	Human Decision-Making under Limited Time. CoRR Pedro A. Ortega, Alan A. Stocker
2016	J	`jnl`	Memory controls time perception and intertemporal choices. CoRR Pedro A. Ortega, Naftali Tishby
2015	J	`jnl`	Belief Flows of Robust Online Learning. CoRR Pedro A. Ortega, Koby Crammer, Daniel D. Lee
2015	Misc	`conf`	Belief flows for robust online learning. ITA Pedro A. Ortega, Koby Crammer, Daniel D. Lee
2015	B	`conf`	Causal reasoning in a prediction task with hidden causes. CogSci Pedro A. Ortega, Daniel D. Lee, Alan A. Stocker
2015	J	`jnl`	Information-Theoretic Bounded Rationality. CoRR Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby
2015	A	`conf`	Reactive bandits with attitude. AISTATS Pedro A. Ortega, Kee-Eung Kim, Daniel D. Lee
2015	J	`jnl`	Subjectivity, Bayesianism, and causality. Pattern Recognit. Lett. Pedro A. Ortega
2014	A*	`conf`	An Adversarial Interpretation of Information-Theoretic Bounded Rationality. AAAI Pedro A. Ortega, Daniel D. Lee
2014	J	`jnl`	An Adversarial Interpretation of Information-Theoretic Bounded Rationality. CoRR Pedro A. Ortega, Daniel D. Lee
2014	J	`jnl`	Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. Pedro A. Ortega, Daniel A. Braun
2014	J	`jnl`	Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. Pedro A. Ortega, Daniel A. Braun
2014	J	`jnl`	Information-Theoretic Bounded Rationality and ε-Optimality. Entropy Daniel A. Braun, Pedro A. Ortega
2014	A*	`conf`	Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA Pedro A. Ortega, Daniel A. Braun, Naftali Tishby
2014	J	`jnl`	Subjectivity, Bayesianism, and Causality. CoRR Pedro A. Ortega
2013	J	`jnl`	Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference CoRR Pedro A. Ortega, Daniel A. Braun
2013	J	`jnl`	Metabolic Cost as an Organizing Principle for Cooperative Learning. Adv. Complex Syst. David Balduzzi, Pedro A. Ortega, Michel Besserve
2012	J	`jnl`	A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function CoRR Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
2012	—	`conf`	A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. NIPS Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
2012	J	`jnl`	Free Energy and the Generalized Optimality Equations for Sequential Decision Making CoRR Pedro A. Ortega, Daniel A. Braun
2012	J	`jnl`	Metabolic cost as an organizing principle for cooperative learning CoRR David Balduzzi, Pedro A. Ortega, Michel Besserve
2012	J	`jnl`	Risk-Sensitivity in Bayesian Sensorimotor Integration. PLoS Comput. Biol. Jordi Grau-Moya, Pedro A. Ortega, Daniel A. Braun
2011	J	`jnl`	Bayesian Causal Induction CoRR Pedro A. Ortega
2011	J	`jnl`	Information, Utility & Bounded Rationality CoRR Pedro A. Ortega, Daniel A. Braun
2011	—	`conf`	Path integral control and bounded rationality. ADPRL Daniel A. Braun, Pedro A. Ortega, Evangelos A. Theodorou, Stefan Schaal
2010	J	`jnl`	A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes CoRR Pedro A. Ortega, Daniel A. Braun
2010	—	`conf`	A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators. ICINCO (3) Daniel A. Braun, Pedro A. Ortega
2010	J	`jnl`	A Minimum Relative Entropy Principle for Learning and Acting. J. Artif. Intell. Res. Pedro A. Ortega, Daniel A. Braun
2010	J	`jnl`	An axiomatic formalization of bounded rationality based on a utility-information equivalence CoRR Pedro A. Ortega, Daniel A. Braun
2010	J	`jnl`	Convergence of Bayesian Control Rule CoRR Pedro A. Ortega, Daniel A. Braun
2009	J	`jnl`	A Bayesian Rule for Adaptive Control based on Causal Interventions CoRR Pedro A. Ortega, Daniel A. Braun
2009	J	`jnl`	A conversion between utility and information CoRR Pedro A. Ortega, Daniel A. Braun
2009	J	`jnl`	Nash Equilibria in Multi-Agent Motor Interactions. PLoS Comput. Biol. Daniel A. Braun, Pedro A. Ortega, Daniel M. Wolpert
2008	J	`jnl`	A Minimum Relative Entropy Principle for Learning and Acting CoRR Pedro A. Ortega, Daniel A. Braun
2006	—	`conf`	A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile. DMIN Pedro A. Ortega, Cristián J. Figueroa, Gonzalo A. Ruz