John D. Kelleher

A framework for measuring the training efficiency of a neural architecture

2024 · arXiv (Cornell University)

Measuring Efficiency in neural network system development is an open research problem. This paper presents an experimental framework to measure the training efficiency of a neural architecture. To demonstrate our approach, we analyze the training …

Specialized Deep Residual Policy Reinforcement Learning Framework for Safe and Adaptive Continuous Control

2026 · IET Control Theory and Applications

ABSTRACT Traditional controllers have limitations as they rely on prior knowledge about the physics of the problem, require modelling of dynamics, and struggle to adapt to abnormal situations. Deep reinforcement learning (DRL) offers a promising …