Andrea Agazzi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Function Approximation

Recurrent Neural Networks

Global Optimality

Top Venues

Eur. J. Control

Publications

Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality. CoRR (2024)
Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee
Global Optimality of Elman-type RNN in the Mean-Field Regime. CoRR (2023)
Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee
Global optimality of Elman-type RNNs in the mean-field regime. ICML (2023)
Craig Xu Chen, Andrea Agazzi
A Homotopic Approach to Policy Gradients for Linear Quadratic Regulators with Nonlinear Controls. CDC (2022)
Andrea Agazzi, Jianfeng Lu
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes. MSML (2021)
Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. Maurice H. Heemels
Urgency-aware optimal routing in repeated games through artificial currencies. Eur. J. Control 62 (2021)
Andrea Agazzi, Jianfeng Lu
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime. ICLR (2021)
Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. M. H. Heemels
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies. CoRR (2020)
Andrea Agazzi, Jianfeng Lu
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime. CoRR (2020)
Andrea Agazzi, Jianfeng Lu
Temporal-difference learning for nonlinear value function approximation in the lazy training regime. CoRR (2019)