Riccardo De Santi
8 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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π
Conference Polyglot Β· Silver
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(12)
π
Grand Slam
Venues
Top co-authors
Research topics
Keywords
sample efficiency
(3)
state distribution
(2)
convex reinforcement learning
(2)
non-markovian policy
(2)
reinforcement learning
(2)
finite trial
(2)
markov decision process
(1)
optimal policy
(1)
posterior sampling
(1)
entropy maximization
(1)
convergence
(1)
abstraction
(1)
mirror descent
(1)
approximation error
(1)
submodular
(1)
diffusion model
(1)
score function
(1)
mdp homomorphisms
(1)
empirical distribution
(1)
regret bound
(1)
Papers
Provable Maximum Entropy Manifold Exploration via Diffusion Models
ICML 2025
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
ICML 2024
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
ICML 2024
Convex Reinforcement Learning in Finite Trials
JMLR 2023
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
AAAI 2023
Challenging Common Assumptions in Convex Reinforcement Learning
NeurIPS 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration
ICML 2022