Temporal-difference learning for nonlinear value function approximation in the lazy training regime. - Andrea Agazzi; Jianfeng Lu (CoRR, 2019)

Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime. - Andrea Agazzi; Jianfeng Lu (ICLR, 2021)

Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes. - Andrea Agazzi; Jianfeng Lu (MSML, 2021)

Urgency-aware optimal routing in repeated games through artificial currencies. - Mauro Salazar; Dario Paccagnan; Andrea Agazzi; W. P. Maurice H. Heemels (Eur. J. Control, 2021)

A Homotopic Approach to Policy Gradients for Linear Quadratic Regulators with Nonlinear Controls. - Craig Xu Chen; Andrea Agazzi (CDC, 2022)

Global optimality of Elman-type RNNs in the mean-field regime. - Andrea Agazzi; Jianfeng Lu; Sayan Mukherjee 001 (ICML, 2023)

Global Optimality of Elman-type RNN in the Mean-Field Regime. - Andrea Agazzi; Jianfeng Lu; Sayan Mukherjee 001 (CoRR, 2023)

Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality. - Leonardo Pedroso; Andrea Agazzi; W. P. Maurice H. Heemels; Mauro Salazar (CDC, 2024)

Emergence of meta-stable clustering in mean-field transformer models. - Giuseppe Bruno; Federico Pasqualotto; Andrea Agazzi (ICLR, 2025)