Riccardo De Santi
8 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🌍
Conference Polyglot
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
🏆
Grand Slam
Conferences
ICML (4)
AAAI (1)
ICLR (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
non-markovian policy
(2)
convex reinforcement learning
(2)
finite trial
(2)
state distribution
(2)
markov decision process
(1)
model-based reinforcement learning
(1)
optimal policy
(1)
approximation error
(1)
regret bound
(1)
empirical distribution
(1)
deterministic policy
(1)
systematic generalization
(1)
causal model
(1)
planning task
(1)
state entropy
(1)
risk-averse reinforcement learning
(1)
causal inference
(1)
empirical state distribution
(1)
reinforcement learning
(1)
sample efficiency
(1)
Papers
Provable Maximum Entropy Manifold Exploration via Diffusion Models
ICML 2025
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
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Convex Reinforcement Learning in Finite Trials
JMLR 2023
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
AAAI 2023
The Importance of Non-Markovianity in Maximum State Entropy Exploration
ICML 2022
Challenging Common Assumptions in Convex Reinforcement Learning
NIPS 2022