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Marcello Restelli

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:04 AM AMS

20

papers

132

total citations

papers (20)

An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits

NEURIPS 2020arXiv

Challenging Common Assumptions in Convex Reinforcement Learning

NEURIPS 2022arXiv

Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection

NEURIPS 2021arXiv

Inverse Reinforcement Learning from a Gradient-based Learner

NEURIPS 2020arXiv

How to Explore with Belief: State Entropy Maximization in POMDPs

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

Best Arm Identification for Stochastic Rising Bandits

No-Regret Reinforcement Learning in Smooth MDPs

Parameterized Projected Bellman Operator

Multi-Fidelity Best-Arm Identification

NEURIPS 2022arXiv

Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story

Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach

NEURIPS 2023arXiv

Towards Principled Unsupervised Multi-Agent Reinforcement Learning

NEURIPS 2025arXiv

Learning in Non-Cooperative Configurable Markov Decision Processes

Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning

Factored-Reward Bandits with Intermediate Observations

Graph-Triggered Rising Bandits

Online Markov Decision Processes Configuration with Continuous Decision Space

Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning

Off-Policy Evaluation with Deficient Support Using Side Information