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)

Source: chalmers.se
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Showing 7 publications

2023

Do Kernel and Neural Embeddings Help in Training and Generalization?

Arman Rahbar, Emilio Jorge, Devdatt Dubhashi et al
Neural Processing Letters. Vol. 55 (2), p. 1681-1695
Journal article
2023

Priors and uncertainty in reinforcement learning

Emilio Jorge
Licentiate thesis
2023

Minimax-Bayes Reinforcement Learning

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson et al
Conference poster
2023

Minimax-Bayes Reinforcement Learning

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson et al
Proceedings of Machine Learning Research. Vol. 206, p. 7511-7527
Paper in proceeding
2020

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
2018

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
2016

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

Emilio Jorge, Mikael Kågebäck, Emil Gustavsson
Preprint

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