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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…
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…