1.5k citations · 2.2k across the 25 of their papers we have counts for
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Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf +2
Artificial behavioral agents are often evaluated based on their consistent behaviors and performance to take sequential actions in an environment to maximize some notion of cumulat…
Contextual Bandit with Adaptive Feature Extraction
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi +1
We consider an online decision making setting known as contextual bandit problem, and propose an approach for improving contextual bandit performance by using an adaptive feature e…
Bandit Models of Human Behavior: Reward Processing in Mental Disorders
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
Drawing an inspiration from behavioral studies of human decision making, we propose here a general parametric framework for multi-armed bandit problem, which extends the standard T…
Context Attentive Bandits: Contextual Bandit with Restricted Context
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi +1
We consider a novel formulation of the multi-armed bandit model, which we call the contextual bandit with restricted context, where only a limited number of features can be accesse…
Emotional Intensity analysis in Bipolar subjects
Facundo Carrillo, Natalia Mota, Mauro Copelli +4
The massive availability of digital repositories of human thought opens radical novel way of studying the human mind. Natural language processing tools and computational models hav…