9 citations · 18 across the 11 of their papers we have counts for
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cs.AI2026
Deep Reinforcement Learning for HPC Job Scheduling: A Statistical Evaluation
Justin M. Cheney, Clement N. Nyirenda
Deep Reinforcement Learning (DRL) offers learned job selection for High-Performance Computing (HPC), but performance against heuristics alone does not establish value beyond action…
cs.AI2026
Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning
Ubayd Ali Bapoo, Clement N Nyirenda
Parameterized action reinforcement learning has shown strong performance in environments requiring both discrete action selection and continuous parameterization. Prior work establ…
cs.AI2022★ 1 cited
Model-Free Deep Reinforcement Learning in Software-Defined Networks
Luke Borchjes, Clement Nyirenda, Louise Leenen
This paper compares two deep reinforcement learning approaches for cyber security in software defined networking. Neural Episodic Control to Deep Q-Network has been implemented and…