2 papers
cs.LG2026
Agile Reinforcement Learning through Separable Neural Architecture and Applications
Rajib Mostakim, Reza T. Batley, Sourav Saha
Deep reinforcement learning (RL) is increasingly deployed in resource-constrained environments, yet go-to function approximators - multilayer perceptrons (MLPs) - are often paramet…
cs.LG2026
Separable neural architectures as a primitive for unified predictive and generative intelligence
Reza T. Batley, Apurba Sarker, Rajib Mostakim +2
Intelligent systems across physics, language and perception often exhibit factorisable structure, yet are typically modelled by monolithic neural architectures that do not explicit…