3 papers
cs.AI2025
MORSE: Multi-Objective Reinforcement Learning via Strategy Evolution for Supply Chain Optimization
Niki Kotecha, Ehecatl Antonio del Rio Chanona
In supply chain management, decision-making often involves balancing multiple conflicting objectives, such as cost reduction, service level improvement, and environmental sustainab…
cs.MA2025
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains
Niki Kotecha, Antonio del Rio Chanona
Inventory control in modern supply chains has attracted significant attention due to the increasing number of disruptive shocks and the challenges posed by complex dynamics, uncert…
eess.SY2024
Control-Informed Reinforcement Learning for Chemical Processes
Maximilian Bloor, Akhil Ahmed, Niki Kotecha +3
This work proposes a control-informed reinforcement learning (CIRL) framework that integrates proportional-integral-derivative (PID) control components into the architecture of dee…