Andrea Agazzi
Orcid: 0000-0001-7498-6034
According to our database1,
Andrea Agazzi
authored at least 8 papers
between 2019 and 2024.
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Bibliography
2024
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality.
CoRR, 2024
2023
Proceedings of the International Conference on Machine Learning, 2023
2022
A Homotopic Approach to Policy Gradients for Linear Quadratic Regulators with Nonlinear Controls.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Eur. J. Control, 2021
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes.
Proceedings of the Mathematical and Scientific Machine Learning, 2021
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime.
Proceedings of the 9th International Conference on Learning Representations, 2021
2019
Temporal-difference learning for nonlinear value function approximation in the lazy training regime.
CoRR, 2019