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)

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)

AI Olympics challenge with Evolutionary Soft Actor Critic. - Marco Calì; Alberto Sinigaglia; Niccolò Turcato; Ruggero Carli; Gian Antonio Susto (CoRR, 2024)

Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios. - Alberto Sinigaglia; Niccolò Turcato; Ruggero Carli; Gian Antonio Susto (CoRR, 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)

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; et al. (CoRR, 2025)

Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations. - Davide Sartor; Alberto Sinigaglia; Gian Antonio Susto (CoRR, 2025)

Simple and Effective Specialized Representations for Fair Classifiers. - Alberto Sinigaglia; Davide Sartor; Marina Ceccon; Gian Antonio Susto (CoRR, 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, 2025)