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Giorgio Manganini
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2020 – today
- 2024
- [j5]Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli:
Policy Gradient with Active Importance Sampling. RLJ 2: 645-675 (2024) - [j4]Gustavo Viera-López
, Jorge J. Morgado-Vega, Alfredo Reyes, Ernesto Altshuler, Yudivián Almeida-Cruz
Improving trajectory classification through Kramers-Moyal coefficients. AI Open 5: 87-93 (2024) - [j3]Francesco Grassi, Giorgio Manganini
Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks. Comput. Ind. Eng. 193: 110329 (2024) - [c9]Angelo Damiani, Gustavo Viera-López, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli:
Transfer Learning for Dynamical Systems Models via Autoencoders and GANs. ACC 2024: 8-14 - [i2]Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli:
Policy Gradient with Active Importance Sampling. CoRR abs/2405.05630 (2024) - 2023
- [j2]Gustavo Viera-López
pactus: A Python framework for trajectory classification. J. Open Source Softw. 8(90): 5738 (2023) - 2022
- [c8]Giorgio Manganini
Newton-based Policy Search for Networked Multi-agent Reinforcement Learning. CDC 2022: 7241-7247 - [c7]Angelo Damiani, Giorgio Manganini
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning. ICML 2022: 4618-4629 - 2020
- [i1]Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini:
Resource Aware Multifidelity Active Learning for Efficient Optimization. CoRR abs/2007.04674 (2020)
2010 – 2019
- 2019
- [c6]Giorgio Manganini
A graph-based optimization framework for the Energy Management of District Systems. CDC 2019: 7252-7257 - 2017
- [c5]Giorgio Manganini
A data-based approach to power capacity optimization. CDC 2017: 1663-1668 - 2016
- [b1]Giorgio Manganini:
Optimal control of large scale stochastic hybrid systems with a finite control space. Polytechnic University of Milan, Italy, 2016 - [j1]Giorgio Manganini
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme. IEEE Trans. Cybern. 46(11): 2643-2655 (2016) - 2015
- [c4]Giorgio Manganini
A majority voting classifier with probabilistic guarantees. CCA 2015: 1084-1089 - [c3]Giorgio Manganini
A classification-based approach to the optimal control of affine switched systems. CDC 2015: 2963-2968 - [c2]Danilo Caporale
Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement. ECC 2015: 1420-1425 - [c1]Giorgio Manganini
Following Newton direction in Policy Gradient with parameter exploration. IJCNN 2015: 1-8
Coauthor Index
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