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Andrea Agazzi
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2020 – today
- 2025
- [c6]Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi:
Emergence of meta-stable clustering in mean-field transformer models. ICLR 2025 - 2024
- [c5]Leonardo Pedroso
, Andrea Agazzi, W. P. Maurice H. Heemels, Mauro Salazar
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality. CDC 2024: 954-959 - [i6]Leonardo Pedroso
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality. CoRR abs/2403.03999 (2024) - [i5]Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi:
Emergence of meta-stable clustering in mean-field transformer models. CoRR abs/2410.23228 (2024) - 2023
- [c4]Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee:
Global optimality of Elman-type RNNs in the mean-field regime. ICML 2023: 196-227 - [i4]Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee:
Global Optimality of Elman-type RNN in the Mean-Field Regime. CoRR abs/2303.06726 (2023) - 2022
- [c3]Craig Xu Chen, Andrea Agazzi:
A Homotopic Approach to Policy Gradients for Linear Quadratic Regulators with Nonlinear Controls. CDC 2022: 1588-1595 - 2021
- [j1]Mauro Salazar
Urgency-aware optimal routing in repeated games through artificial currencies. Eur. J. Control 62: 22-32 (2021) - [c2]Andrea Agazzi, Jianfeng Lu:
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime. ICLR 2021 - [c1]Andrea Agazzi, Jianfeng Lu:
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes. MSML 2021: 37-74 - 2020
- [i3]Andrea Agazzi, Jianfeng Lu:
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime. CoRR abs/2010.11858 (2020) - [i2]Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. M. H. Heemels:
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies. CoRR abs/2011.11595 (2020)
2010 – 2019
- 2019
- [i1]Andrea Agazzi, Jianfeng Lu:
Temporal-difference learning for nonlinear value function approximation in the lazy training regime. CoRR abs/1905.10917 (2019)
Coauthor Index
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