Riccardo De Santi

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Markov Decision Processes

Reinforcement Learning

Metropolis Hastings Algorithm

Top Venues

J. Mach. Learn. Res.

Publications

Riccardo De Santi, Federico Arangath Joseph, Noah Liniger, Mirco Mutti, Andreas Krause
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction. CoRR (2024)
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. ICLR (2024)
Riccardo De Santi, Manish Prajapat, Andreas Krause
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods. CoRR (2024)
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. CoRR (2023)
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. AAAI (2023)
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
Convex Reinforcement Learning in Finite Trials. J. Mach. Learn. Res. 24 (2023)
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
Challenging Common Assumptions in Convex Reinforcement Learning. CoRR (2022)
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael Bronstein, Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. CoRR (2022)
Mirco Mutti, Riccardo De Santi, Marcello Restelli
The Importance of Non-Markovianity in Maximum State Entropy Exploration. CoRR (2022)
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
Challenging Common Assumptions in Convex Reinforcement Learning. NeurIPS (2022)
Mirco Mutti, Riccardo De Santi, Marcello Restelli
The Importance of Non-Markovianity in Maximum State Entropy Exploration. ICML (2022)