Improving Reinforcement Learning Pre-Training with Variational Dropout. - Tom Blau; Lionel Ott; Fabio Ramos 001 (IROS, 2018)

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning. - Tom Blau; Lionel Ott; Fabio Ramos 001 (CoRR, 2019)

Reinforcement Learning with Probabilistically Complete Exploration. - Philippe Morere; Gilad Francis; Tom Blau; Fabio Ramos 001 (CoRR, 2020)

Learning from Demonstration without Demonstrations. - Tom Blau; Philippe Morere; Gilad Francis (ICRA, 2021)

Optimizing Sequential Experimental Design with Deep Reinforcement Learning. - Tom Blau; Edwin V. Bonilla; Iadine Chades; Amir Dezfouli (ICML, 2022)

Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning. - Tom Blau; Edwin V. Bonilla; Iadine Chades; Amir Dezfouli (CoRR, 2023)

Large language model for Bible sentiment analysis: Sermon on the Mount. - Mahek Vora; Tom Blau; Vansh Kachhwal; Ashu M. G. Solo; Rohitash Chandra (CoRR, 2024)