RaceTrack

Home – Building Ball Shooter (Schola)

This guide walks you through creating a simple shooting range environment and training an agent to shoot moving targets in Unreal Engine. The goal is to aim correctly before shooting and take down targets one by one.

Home – Building Tag (Schola)

In this tutorial, we create a multi-agent environment where the agents are trained to play a 3v1 game of tag. Specifically, we create one runner agent which tries to avoid being caught and three tagger agents with the goal of catching the runner. The…

Home – Schola Documentation (Schola)

The Schola project is an effort to build a toolkit/plugin for controlling Objects in Unreal with Reinforcement Learning. It provides tools to help the user create Environments, define Agents, connect to python based RL Frameworks (e.g. Gym, RLLib or …

Home – Examples Index (Schola)

3DBall

Home – Building Maze Solver (Schola)

This guide walks you through creating a maze environment and training an agent to navigate it using reinforcement learning in Unreal Engine.

Home – Overview: module code (Schola)

All modules for which code is available

AMD Schola

AMD Schola is a library for developing reinforcement learning (RL) agents in Unreal Engine and training with your favorite python-based RL Frameworks.

Advancing AI in Video Games with AMD Schola

By connecting popular open-source RL libraries (written in Python) with the visual and physics capabilities of Unreal Engine, Schola empowers AI researchers and game developers alike to push the boundaries of intelligent gameplay.