Publications

Emilio Jorge, Christos Dimitrakakis, Debabrota Basu Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret. EWRL 2024

Thomas Kleine Buening*, Christos Dimitrakakis*, Hannes Eriksson*, Divya Grover*, Emilio Jorge* Minimax-bayes reinforcement learning. AISTATS 2023

Arman Rahbar, Emilio Jorge, Morteza Haghir Chehreghani, Devdatt Dubhashi Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. Neural Processing Letters 55 2023.

Emilio Jorge*, Hannes Eriksson*, Christos Dimitrakakis*, Debabrota Basu, Divya Grover Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. Contributed talk [video] at ICBINB Workshop@NeurIPS 2020.

Emilio Jorge, Mikael Kågebäck, Fredrik D. Johansson, Emil Gustavsson Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. Presented at Deep Reinforcement Learning Workshop at NIPS 2016.

Constantin Cronrath, Emilio Jorge, John Moberg et al. BAgger: A Bayesian Algorithm for Safe and Query-efficient Imitation Learning. Presented at International Conference on Intelligent Robots and Systems (IROS) 2018 workshop on Machine Learning in Robot Motion Planning.

Emilio Jorge, Lucas Brynte, Constantin Cronrath et al. Reinforcement learning in real-time geometry assurance. 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018).

*, Equal contribution

Presentations

Introduction to Normalizing flows on October 10 2019 at RISE AI, Gothenburg.

Posters

Exploration and uncertainty in generative networks for reinforcement learning PhD project overview poster. Presented at German universities and Max Planck institutes during WASP study trip in October 2019.