Carlos Diuk

According to our database, Carlos Diuk authored at least 14 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Social Catalysts: Characterizing People Who Spark Conversations Among Others.

Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada A. Adamic

Proc. ACM Hum. Comput. Interact., 2021

2015

Parsing Heuristic and Forward Search in First-Graders' Game-Play Behavior.

Luciano Paz, Andrea Paula Goldin, Carlos Diuk, Mariano Sigman

Cogn. Sci., 2015

2014

Optimal Behavioral Hierarchy.

Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G. Barto, Yael Niv, Matthew M. Botvinick

PLoS Comput. Biol., 2014

2013

Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans.

Carlos Diuk, Anna C. Schapiro, Natalia Córdova, José Ribas-Fernandes, Yael Niv, Matthew M. Botvinick

Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2010

The emergence of the modern concept of introspection: a quantitative linguistic analysis.

Iván Raskovsky, Diego Fernández Slezak, Carlos Diuk, Guillermo A. Cecchi

Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, 2010

Generalizing Apprenticeship Learning across Hypothesis Classes.

Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Hierarchical Reinforcement Learning.

Carlos Diuk, Michael L. Littman

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Exploring compact reinforcement-learning representations with linear regression.

Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman

Proceedings of the UAI 2009, 2009

Workshop summary: Results of the 2009 reinforcement learning competition.

David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor, Jordan Frank

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

The adaptive <i>k</i>-meteorologists problem and its application to structure learning and feature selection in reinforcement learning.

Carlos Diuk, Lihong Li, Bethany R. Leffler

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

An object-oriented representation for efficient reinforcement learning.

Carlos Diuk, Andre Cohen, Michael L. Littman

Proceedings of the Machine Learning, 2008

2007

Efficient Structure Learning in Factored-State MDPs.

Alexander L. Strehl, Carlos Diuk, Michael L. Littman

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

A hierarchical approach to efficient reinforcement learning in deterministic domains.

Carlos Diuk, Alexander L. Strehl, Michael L. Littman

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

A Change Detection Model for Non-Stationary k-Armed Bandit Problems.

Carlos Diuk, Michael L. Littman

Proceedings of the Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems, 2006