AMD Schola v2 is an open-source reinforcement learning plugin for Unreal Engine 5 that enables training and deploying AI agents. The major update introduces a flexible inference architecture with modular agent/policy/stepper components, native Minari dataset support for offline RL, dynamic agent spawning and deletion during episodes, an enhanced command-line interface, improved Blueprint integration, and updated support for Gymnasium 1.1+, Ray RLlib, and Stable-Baselines3 2.x. The plugin bridges Unreal Engine with Python-based RL frameworks, supporting use cases from game NPC training to robotic simulations.
Table of contents
What is AMD Schola?What’s new in AMD Schola v2?Getting started with AMD Schola v2CompatibilityAdditional resources, community, and supportAcknowledgmentsTry it todaySort: