Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model.
This article addresses the challenge of inefficient online strategy training with incomplete offline data by introducing a novel method called online policy tuning based on offline policy self-organization (OTOS), which has been extensively validated across four distinct football scenarios, consistently demonstrating s...