5 papers
Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
Atefeh Termehchi, Ekram Hossain, Angelo Vera-Rivera +2
Recent advances in computational infrastructure and large-scale data processing have accelerated the adoption of data-driven inference methods, particularly deep learning (DL), to…
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…
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
Minttu Alakuijala, Reginald McLean, Isaac Woungang +4
Natural language is often the easiest and most convenient modality for humans to specify tasks for robots. However, learning to ground language to behavior typically requires impra…
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,…
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…