This paper proposes the use of deep reinforcement learning to solve the nonlinear Electric Vehicle Routing Problem (EVRP) and redesigns the policy network.

Attention based model for learning to solve the Heterogeneous Capacitated Vehicle Routing Problem (HCVRP) with both min-max and min-sum objective. Training with REINFORCE with greedy rollout baseline.

With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...

Its quantum solutions are used in allocation, resource scheduling, factory scheduling, vehicle routing, logistics optimization, drug discovery, industrial construction design, portfolio optimization ...

I've been through the cycle of using different AI for my projects, and switching them out has been difficult. It takes too much work for a simple change, but OpenRouter ended up being exactly what I ...

We all know that familiar feeling of panic and distrust when we unlock our phone and accidentally swipe away a notification we didn’t read. It’s easy to mistake it as the sixth Instagram Reel in a row ...