Trustworthy Reinforcement Learning for AI-Driven Urban Decision-Making: Sustainable Dynamic Pricing and Resource Optimization for Smart City Operations
Reinforcement learning can support sustainable and resilient urban decision-making when optimization objectives are combined with trustworthy AI principles, and the proposed framework provides a practical basis for accountable AI-based decision-support systems in smart city operations.
Žydrūnas Bautronis, R. Alzbutas
· Sustainability · 0 citations