Abstract: Connected and automated vehicles (CAVs) have emerged as a potential solution to the future challenges of developing safe, efficient, and eco-friendly transportation systems. However, CAV ...

Abstract: Self-play theory is an important branch of reinforcement learning. Different levels of complexity in scenarios are also necessary to make reinforcement learning more sophisticated. In this ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...