3 papers
cs.LG2026
A Reinforcement-Learning-Augmented Liquid-Fueled Reactor Network Model for Predicting Lean Blowout in Gas Turbine Combustors
Philip John, Eloghosa Ikponmwoba, Pinaki Pal +1
This study introduces a reinforcement learning (RL) framework for generating optimal liquid-fueled reactors to improve lean blowout (LBO) predictions in gas turbine combustors. Exi…
cs.LG2026
Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning
Eloghosa Ikponmwoba, Opeoluwa Owoyele
The computational cost of stiff chemical kinetics remains a dominant bottleneck in reacting-flow simulation, yet hybrid integration strategies are typically driven by hand-tuned he…
cs.AI2023
DeepHive: A multi-agent reinforcement learning approach for automated discovery of swarm-based optimization policies
Eloghosa Ikponmwoba, Ope Owoyele
We present an approach for designing swarm-based optimizers for the global optimization of expensive black-box functions. In the proposed approach, the problem of finding efficient…