Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. - Emilio Jorge; Mikael Kågebäck; Emil Gustavsson (CoRR, 2016)

Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. - Emilio Jorge; Morteza Haghir Chehreghani; Devdatt P. Dubhashi (CoRR, 2019)

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. - Emilio Jorge; Hannes Eriksson; Christos Dimitrakakis; Debabrota Basu; Divya Grover (ICBINB@NeurIPS, 2020)

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. - Christos Dimitrakakis; Hannes Eriksson; Emilio Jorge; Divya Grover; Debabrota Basu (CoRR, 2020)

Minimax-Bayes Reinforcement Learning. - Thomas Kleine Buening; Christos Dimitrakakis; Hannes Eriksson; Divya Grover; Emilio Jorge (AISTATS, 2023)

Do Kernel and Neural Embeddings Help in Training and Generalization? - Arman Rahbar; Emilio Jorge; Devdatt P. Dubhashi; Morteza Haghir Chehreghani (Neural Process. Lett., 2023)

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret. - Emilio Jorge; Christos Dimitrakakis; Debabrota Basu (CoRR, 2024)