Andrea Agazzi

20 papers A* 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Token Economy for Fair and Efficient Dynamic Resource Allocation in Congestion Games.
CoRR
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar
2025 J jnl
A multiscale analysis of mean-field transformers in the moderate interaction regime.
CoRR
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
2025 A* conf
Emergence of meta-stable clustering in mean-field transformer models.
ICLR
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
2025 J jnl
Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs.
CoRR
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar
2025 J jnl
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games - Part I: Equilibria.
CoRR
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar
2025 J jnl
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games - Part II: Stability.
CoRR
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar
2025 J jnl
Global Optimization via Softmin Energy Minimization.
CoRR
Andrea Agazzi, Vittorio Carlei, Marco Romito, Samuele Saviozzi
2025 J jnl
Quantitative convergence of trained single layer neural networks to Gaussian processes.
CoRR
Eloy Mosig, Andrea Agazzi, Dario Trevisan
2024 J jnl
Emergence of meta-stable clustering in mean-field transformer models.
CoRR
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
2024 — conf
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality.
CDC
Leonardo Pedroso, Andrea Agazzi, W. P. Maurice H. Heemels, Mauro Salazar
2024 J jnl
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality.
CoRR
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar
2023 J jnl
Global Optimality of Elman-type RNN in the Mean-Field Regime.
CoRR
Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee
2023 A* conf
Global optimality of Elman-type RNNs in the mean-field regime.
ICML
Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee
2022 — conf
A Homotopic Approach to Policy Gradients for Linear Quadratic Regulators with Nonlinear Controls.
CDC
Craig Xu Chen, Andrea Agazzi
2021 A* conf
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime.
ICLR
Andrea Agazzi, Jianfeng Lu
2021 — conf
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes.
MSML
Andrea Agazzi, Jianfeng Lu
2021 J jnl
Urgency-aware optimal routing in repeated games through artificial currencies.
Eur. J. Control
Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. Maurice H. Heemels
2020 J jnl
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime.
CoRR
Andrea Agazzi, Jianfeng Lu
2020 J jnl
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies.
CoRR
Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. M. H. Heemels
2019 J jnl
Temporal-difference learning for nonlinear value function approximation in the lazy training regime.
CoRR
Andrea Agazzi, Jianfeng Lu