Carlos Diuk

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 2

Top Topics

Locally Weighted

Nonlinear Regression

Top Venues

Proc. ACM Hum. Comput. Interact.

PLoS Comput. Biol.

Publications

Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada A. Adamic
Social Catalysts: Characterizing People Who Spark Conversations Among Others. CoRR (2021)
Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada A. Adamic
Social Catalysts: Characterizing People Who Spark Conversations Among Others. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Luciano Paz, Andrea Paula Goldin, Carlos Diuk, Mariano Sigman
Parsing Heuristic and Forward Search in First-Graders' Game-Play Behavior. Cogn. Sci. 39 (5) (2015)
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G. Barto, Yael Niv, Matthew Botvinick
Optimal Behavioral Hierarchy. PLoS Comput. Biol. 10 (8) (2014)
Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
Exploring compact reinforcement-learning representations with linear regression CoRR (2012)
Iván Raskovsky, Diego Fernández Slezak, Carlos Diuk, Guillermo A. Cecchi
The emergence of the modern concept of introspection: a quantitative linguistic analysis. NAACL (Young Investigators Workshop) (2010)
Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk
Generalizing Apprenticeship Learning across Hypothesis Classes. ICML (2010)
David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor, Jordan Frank
Workshop summary: Results of the 2009 reinforcement learning competition. ICML (2009)
Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
Exploring compact reinforcement-learning representations with linear regression. UAI (2009)
Carlos Diuk, Lihong Li, Bethany R. Leffler
-meteorologists problem and its application to structure learning and feature selection in reinforcement learning. ICML (2009)
Carlos Diuk, Andre Cohen, Michael L. Littman
An object-oriented representation for efficient reinforcement learning. ICML (2008)
Alexander L. Strehl, Carlos Diuk, Michael L. Littman
Efficient Structure Learning in Factored-State MDPs. AAAI (2007)
Carlos Diuk, Michael L. Littman
A Change Detection Model for Non-Stationary k-Armed Bandit Problems. AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems (2006)
Carlos Diuk, Alexander L. Strehl, Michael L. Littman
A hierarchical approach to efficient reinforcement learning in deterministic domains. AAMAS (2006)