activity
20132023
most citedLogarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon

12 citations · 42 across the 8 of their papers we have counts for

collaborators

11 papers

math.OC2023★ 1 cited

A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy

René Aid, Matteo Basei, Giorgio Ferrari

We consider a mean-field model of firms competing à la Cournot on a commodity market, where the commodity price is given in terms of a power inverse demand function of the industry…

math.OC2023★ 3 cited

Uncertainty over Uncertainty in Environmental Policy Adoption: Bayesian Learning of Unpredictable Socioeconomic Costs

Matteo Basei, Giorgio Ferrari, Neofytos Rodosthenous

The socioeconomic impact of pollution naturally comes with uncertainty due to, e.g., current new technological developments in emissions' abatement or demographic changes. On top o…

math.OC2022★ 1 cited

A mean field model for the development of renewable capacities

Clémence Alasseur, Matteo Basei, Charles Bertucci +1

We propose a model based on a large number of small competitive producers of renewable energies, to study the effect of subsidies on the aggregate level of capacity, taking into ac…

math.OC2020★ 12 cited

Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon

Matteo Basei, Xin Guo, Anran Hu +1

We study finite-time horizon continuous-time linear-quadratic reinforcement learning problems in an episodic setting, where both the state and control coefficients are unknown to t…

math.OC2019★ 11 cited

Nonzero-sum stochastic games and mean-field games with impulse controls

Matteo Basei, Haoyang Cao, Xin Guo

We consider a general class of nonzero-sum -player stochastic games with impulse controls, where players control the underlying dynamics with discrete interventions. We adopt a…

math.PR2018

A Weak Martingale Approach to Linear-Quadratic McKean-Vlasov Stochastic Control Problems

Matteo Basei, Huyên Pham

We propose a simple and original approach for solving linear-quadratic mean-field stochastic control problems. We study both finite-horizon and infinite-horizon pro\-blems, and all…