Prof. Snehanshu Saha

The tacit premise of modern ML: decision-time computation is where value gets created. Train a model, learn a policy, deploy. The policy is the intelligence. In this talk I will demonstrate that structural graph design, specifically via randomised edge perturbation achieves Pareto-dominant performance over learned and optimisation-based methods in urban food delivery. Our core claim is that-if the environment in which agents operate is designed with sufficient structural care, the agents themselves can be remarkably simple; and the system as a whole will still outperform agents that are far more computationally sophisticated.