9 citations · 11 across the 7 of their papers we have counts for
7 papers
Modeling shopper interest broadness with entropy-driven dialogue policy in the context of arbitrarily large product catalogs
Firas Jarboui, Issa Memari
Conversational recommender systems promise rich interactions for e-commerce, but balancing exploration (clarifying user needs) and exploitation (making recommendations) remains cha…
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning
Firas Jarboui, Ahmed Akakzia
The endeavor of artificial intelligence (AI) is to design autonomous agents capable of achieving complex tasks. Namely, reinforcement learning (RL) proposes a theoretical backgroun…
Unsupervised Neural Hidden Markov Models with a Continuous latent state space
Firas Jarboui, Vianney Perchet
We introduce a new procedure to neuralize unsupervised Hidden Markov Models in the continuous case. This provides higher flexibility to solve problems with underlying latent variab…
Offline Inverse Reinforcement Learning
Firas Jarboui, Vianney Perchet
The objective of offline RL is to learn optimal policies when a fixed exploratory demonstrations data-set is available and sampling additional observations is impossible (typically…
Quickest change detection with unknown parameters: Constant complexity and near optimality
Firas Jarboui, Viannet Perchet
We consider the quickest change detection problem where both the parameters of pre- and post- change distributions are unknown, which prevents the use of classical simple hypothesi…
A Generalised Inverse Reinforcement Learning Framework
Firas Jarboui, Vianney Perchet
The gloabal objective of inverse Reinforcement Learning (IRL) is to estimate the unknown cost function of some MDP base on observed trajectories generated by (approximate) optimal…
Markov Decision Process for MOOC users behavioral inference
Firas Jarboui, Célya Gruson-daniel, Pierre Chanial +6
Studies on massive open online courses (MOOCs) users discuss the existence of typical profiles and their impact on the learning process of the students. However defining the typica…