Emilio Jorge

Doctoral Student at Data Science and AI

Working with reinforcement learning and generative models but I have a general interest in all kinds of machine learning. Supervisors: Christos Dimitrakakis and Kevin Smith (KTH) Link to homepage

Source: chalmers.se
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Showing 6 publications


Priors and uncertainty in reinforcement learning

Emilio Jorge
Licentiate thesis

Do Kernel and Neural Embeddings Help in Training and Generalization?

Arman Rahbar, Emilio Jorge, Devdatt Dubhashi et al
Neural Processing Letters. Vol. In Press
Journal article

Minimax-Bayes Reinforcement Learning

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson et al

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis et al
Proceedings of Machine Learning Research. Vol. 137, p. 43-52
Paper in proceeding

Reinforcement learning in real-time geometry assurance

Emilio Jorge, Lucas Brynte, Constantin Cronrath et al
Procedia CIRP. Vol. 72, p. 1073-1078
Paper in proceeding

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence.

Emilio Jorge, Mikael Kågebäck, Emil Gustavsson

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