Marco Mussi
12 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🤝 Dynamic Duo (11)
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Keyword Collector
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Century Club · Bronze
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Prolific Year · Productive
Venues
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Research topics
Keywords
policy gradient
(3)
online learning
(2)
regret bound
(2)
regret minimization
(2)
sequential decision making
(2)
optimistic algorithm
(2)
sample complexity
(2)
best arm identification
(1)
exploration
(1)
constrained optimization
(1)
primal-dual algorithm
(1)
online learning algorithm
(1)
regret guarantee
(1)
bandits
(1)
optimal policy
(1)
online algorithm
(1)
multi-armed bandit
(1)
error probability
(1)
sequential decision
(1)
continuous control
(1)
Papers
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
ICML 2025
Position: Constants are Critical in Regret Bounds for Reinforcement Learning
ICML 2025
Sleeping Reinforcement Learning
ICML 2025
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback
ICML 2025
Autoregressive Bandits
AISTATS 2024
Best Arm Identification for Stochastic Rising Bandits
ICML 2024
Factored-Reward Bandits with Intermediate Observations
ICML 2024
Graph-Triggered Rising Bandits
ICML 2024
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
NeurIPS 2024
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
ICML 2024
Dynamical Linear Bandits
ICML 2023
Dynamic Pricing with Volume Discounts in Online Settings
AAAI 2023