Riccardo De Santi

According to our database, Riccardo De Santi authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods.

Riccardo De Santi, Manish Prajapat, Andreas Krause

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction.

Riccardo De Santi, Federico Arangath Joseph, Noah Liniger, Mirco Mutti, Andreas Krause

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Convex Reinforcement Learning in Finite Trials.

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

J. Mach. Learn. Res., 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