Marco Mussi
12 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer
π
Conference Polyglot
(4)
π€
Dynamic Duo
(11)
β‘
Prolific Year
(6)
π
Century Club
(12)
Conferences
ICML (9)
AAAI (1)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
regret minimization
(2)
sequential decision-making
(2)
online learning
(2)
constrained optimization
(1)
continuous control
(1)
sequential decision
(1)
primal-dual algorithm
(1)
online learning algorithm
(1)
multi-armed bandit
(1)
regret bound
(1)
online algorithm
(1)
hidden state
(1)
optimistic algorithm
(1)
linear bandit
(1)
dynamic pricing
(1)
risk measure
(1)
autoregressive process
(1)
optimization horizon
(1)
a/b testing
(1)
linear dynamics
(1)
Papers
Position: Constants are Critical in Regret Bounds for Reinforcement Learning
ICML 2025
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
ICML 2025
Sleeping Reinforcement Learning
ICML 2025
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback
ICML 2025
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
NIPS 2024
Best Arm Identification for Stochastic Rising Bandits
ICML 2024
Factored-Reward Bandits with Intermediate Observations
ICML 2024
Autoregressive Bandits
AISTATS 2024
Graph-Triggered Rising Bandits
ICML 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