3 papers
cs.LG2026
Generalization Analysis and Method for Domain Generalization for a Family of Recurrent Neural Networks
Atefeh Termehchi, Ekram Hossain, Isaac Woungang
Deep learning (DL) has driven broad advances across scientific and engineering domains. Despite its success, DL models often exhibit limited interpretability and generalization, wh…
cs.LG2025
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean, Evangelos Chatzaroulas, Jordan Terry +3
Multi-task reinforcement learning (MTRL) aims to endow a single agent with the ability to perform well on multiple tasks. Recent works have focused on developing novel sophisticate…
cs.LG2025
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
Atefeh Termehchi, Ekram Hossain, Isaac Woungang
Deep Reinforcement Learning (DRL) is a key machine learning technology driving progress across various scientific and engineering fields, including wireless communication. However,…