Abstract: This study addresses a variant of the Vehicle Routing Problem (VRP) with customer priorities. In the variant, we assume the hard priority constraint where customers should be served in a ...

Explore the reinforcement learning algorithm that achieves performance comparable to GRPO in RLVR with minimal complexity. Learn how it works, why it’s effective, and its practical applications in RL ...

I recently read a book to my 4½-year-old daughter that I immediately took out of her room and decided never to read again. That children’s book reminded me of an assignment I once had at the ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

This project implements various reinforcement learning algorithms to play Spider Solitaire, a popular card game. The implementation includes DQN, A2C, and PPO algorithms with both full and simplified ...

In a groundbreaking development, engineers at Northwestern University have created a new AI algorithm that promises to transform the field of smart robotics. The algorithm, named Maximum Diffusion ...

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.