Riccardo De Santi

According to our database, Riccardo De Santi authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Convex Reinforcement Learning in Finite Trials.

Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli

J. Mach. Learn. Res., 2023

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning.

Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi

CoRR, 2023

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization.

Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Challenging Common Assumptions in Convex Reinforcement Learning.

Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Importance of Non-Markovianity in Maximum State Entropy Exploration.

Mirco Mutti, Riccardo De Santi, Marcello Restelli

Proceedings of the International Conference on Machine Learning, 2022