Alberto Sinigaglia

According to our database, Alberto Sinigaglia authored at least 9 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots.

Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto

CoRR, July, 2025

Simple and Effective Specialized Representations for Fair Classifiers.

Alberto Sinigaglia, Davide Sartor, Marina Ceccon, Gian Antonio Susto

CoRR, May, 2025

Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations.

Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto

CoRR, May, 2025

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition.

Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, BumKyu Choi, Tim Lukas Faust, Habib Maraqten, Erfan Aghadavoodi, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Diego Romeres, Jong-Kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar

CoRR, March, 2025

2024

On the limitations of adversarial training for robust image classification with convolutional neural networks.

Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto

Inf. Sci., 2024

Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios.

Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto

CoRR, 2024

AI Olympics challenge with Evolutionary Soft Actor Critic.

Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto

CoRR, 2024

Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods.

Alberto Sinigaglia, Niccolò Turcato, Alberto Dalla Libera, Ruggero Carli, Gian Antonio Susto

CoRR, 2024

Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks.

Emad Efatinasab, Alberto Sinigaglia, Nahal Azadi, Gian Antonio Susto, Mirco Rampazzo

IEEE Access, 2024