1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Soft Actor-Critic with Beta Policy via Implicit Reparameterization Gradients
Luca Della Libera
Recent advances in deep reinforcement learning have achieved impressive results in a wide range of complex tasks, but poor sample efficiency remains a major obstacle to real-world…
cs.LG2019★ 1 cited
A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
Luca Della Libera
In the last decade, deep learning (DL) has outperformed model-based and statistical approaches in predicting the remaining useful life (RUL) of machinery in the context of conditio…