Marco Mussi

Orcid: 0000-0001-8356-6744

According to our database1, Marco Mussi authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting.
CoRR, 2024

State and Action Factorization in Power Grids.
CoRR, 2024

Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning.
CoRR, 2024

Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards.
CoRR, 2024

Best Arm Identification for Stochastic Rising Bandits.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Factored-Reward Bandits with Intermediate Observations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Optimal Deterministic Policies with Stochastic Policy Gradients.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph-Triggered Rising Bandits.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Autoregressive Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
ARLO: A framework for Automated Reinforcement Learning.
Expert Syst. Appl., August, 2023

Dynamical Linear Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Dynamic Pricing with Volume Discounts in Online Settings.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


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