74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Aldo Glielmo3 profiles9 · h 5
- A. Laio5 · h 55
- Luigi Bellomarini2 profiles5 · h 14
- Emanuel Sallinger3 · h 15
- Iuri Macocco3 · h 5
- Luca Guarnera3 · h 15
- Marco Favorito2 profiles3 · h 12
- Oliver Giudice3 · h 15
- S. Battiato3 · h 43
- Alex Rodriguez2 profiles2 · h 18
- A. Mercatanti2 · h 10
- Andrea Coletta2 profiles2 · h 2
- Scuola Internazionale Superiore di Studi AvanzatiIT5 papers
- Sapienza University of RomeIT4 papers
- The Abdus Salam International Centre for Theoretical Physics (ICTP)IT3 papers
- TU WienAT3 papers
- University of CataniaIT3 papers
- University of OxfordGB3 papers
- Duke UniversityUS2 papers
- ETH ZurichCH2 papers
- Roma Tre UniversityIT2 papers
- Università Cattolica del Sacro CuoreIT2 papers
- University of Milano-BicoccaIT2 papers
- University of TriesteIT2 papers
5 papers · 1 filter
Natural-gas storage modelling by deep reinforcement learning
Tiziano Balaconi, Aldo Glielmo, Marco Taboga
We introduce GasRL, a simulator that couples a calibrated representation of the natural gas market with a model of storage-operator policies trained with deep reinforcement learnin…
Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based Modelling
Simone Brusatin, Tommaso Padoan, Andrea Coletta +2
Agent-based models (ABMs) are simulation models used in economics to overcome some of the limitations of traditional frameworks based on general equilibrium assumptions. However, a…
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito +2
One major limitation to the applicability of Reinforcement Learning (RL) to many practical domains is the large number of samples required to learn an optimal policy. To address th…
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
Aldo Glielmo, Marco Favorito, Debmallya Chanda +1
Calibrating agent-based models (ABMs) in economics and finance typically involves a derivative-free search in a very large parameter space. In this work, we benchmark a number of s…
DADApy: Distance-based Analysis of DAta-manifolds in Python
Aldo Glielmo, Iuri Macocco, Diego Doimo +6
DADApy is a python software package for analysing and characterising high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability…