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

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
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
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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