Posterior Sampling for Deep Reinforcement Learning
R. Sasso, M. Conserva, and P. Rauber
ICML 2023

Markov Decision Processes Hardness: Theory and Practice
M. Conserva and P. Rauber
NeurIPS 2022


Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits
A. Ramesh, M. Conserva, P. Rauber, and J. Schmidhuber
Neural Computation 2022

The Graph Cut Kernel for Ranked Data
M. Conserva, M. Deisenroth, and K. S. S. Kumar
Transactions on Machine Learning Research 2022