Carlos Diuk

16 papers A* 5A 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Social Catalysts: Characterizing People Who Spark Conversations Among Others.
CoRR
Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada A. Adamic
2021 J jnl
Social Catalysts: Characterizing People Who Spark Conversations Among Others.
Proc. ACM Hum. Comput. Interact.
Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada A. Adamic
2015 J jnl
Parsing Heuristic and Forward Search in First-Graders' Game-Play Behavior.
Cogn. Sci.
Luciano Paz, Andrea Paula Goldin, Carlos Diuk, Mariano Sigman
2014 J jnl
Optimal Behavioral Hierarchy.
PLoS Comput. Biol.
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G. Barto, Yael Niv, Matthew M. Botvinick
2013 — ch.
Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans.
Computational and Robotic Models of the Hierarchical Organization of Behavior
Carlos Diuk, Anna C. Schapiro, Natalia Córdova, José Ribas-Fernandes, Yael Niv, Matthew M. Botvinick
2012 J jnl
Exploring compact reinforcement-learning representations with linear regression
CoRR
Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
2010 A* conf
Generalizing Apprenticeship Learning across Hypothesis Classes.
ICML
Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk
2010 — conf
The emergence of the modern concept of introspection: a quantitative linguistic analysis.
NAACL (Young Investigators Workshop)
Iván Raskovsky, Diego Fernández Slezak, Carlos Diuk, Guillermo A. Cecchi
2009 A conf
Exploring compact reinforcement-learning representations with linear regression.
UAI
Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
2009 — ch.
Hierarchical Reinforcement Learning.
Encyclopedia of Artificial Intelligence
Carlos Diuk, Michael L. Littman
2009 A* conf
The adaptive
ICML
Carlos Diuk, Lihong Li, Bethany R. Leffler
2009 A* conf
Workshop summary: Results of the 2009 reinforcement learning competition.
ICML
David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor, Jordan Frank
2008 A* conf
An object-oriented representation for efficient reinforcement learning.
ICML
Carlos Diuk, Andre Cohen, Michael L. Littman
2007 A* conf
Efficient Structure Learning in Factored-State MDPs.
AAAI
Alexander L. Strehl, Carlos Diuk, Michael L. Littman
2006 — conf
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
Carlos Diuk, Michael L. Littman
2006 A conf
A hierarchical approach to efficient reinforcement learning in deterministic domains.
AAMAS
Carlos Diuk, Alexander L. Strehl, Michael L. Littman