31 citations · 31 across the 4 of their papers we have counts for
5 papers
The generalized lower triangular process prior
Antonio Canale, Sylvia Frühwirth-Schnatter
In the analysis of multivariate data, factor models represent a powerful technique for both reducing dimensionality and facilitating qualitative understanding of the latent determi…
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
Mahmoud Selim, Cristina Cipriani, Karl H. Johansson
Diffusion policies offer a powerful and expressive parameterization for continuous control. Yet, their integration with reinforcement learning remains conceptually and algorithmica…
Federated Flow Matching
Zifan Wang, Anqi Dong, Mahmoud Selim +2
Data today is decentralized, generated and stored across devices and institutions where privacy, ownership, and regulation prevent centralization. This motivates the need to train…
Safe Reinforcement Learning using Data-Driven Predictive Control
Mahmoud Selim, Amr Alanwar, M. Watheq El-Kharashi +2
Reinforcement learning (RL) algorithms can achieve state-of-the-art performance in decision-making and continuous control tasks. However, applying RL algorithms on safety-critical…
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Mahmoud Selim, Amr Alanwar, Shreyas Kousik +3
Reinforcement learning (RL) is capable of sophisticated motion planning and control for robots in uncertain environments. However, state-of-the-art deep RL approaches typically lac…