Examples

Examples – Example 2: 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.

Examples – Example 1: 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.

Guides – Getting Started With Schola Examples (Schola)

This guide will walk you through setting up the Schola Experiments Project to try out some premade reinforcement learning examples with Schola.

schola.scripts.sb3.launch – schola.scripts.sb3.launch.SB3ScriptArgs (Schola)

class schola.scripts.sb3.launch.SB3ScriptArgs(enable_checkpoints: bool = False, checkpoint_dir: str = ‘./ckpt’, save_freq: int = 100000, name_prefix_override: str = None, export_onnx: bool = False, save_final_policy: bool = False, launch_unreal: bool…

Guides – Running Schola (Schola)

Schola uses subclasses of UnrealConnection to interact with Unreal Engine. It supports both creating a standalone instance of Unreal Engine running as a child process of your python script, or connecting to a running Unreal Engine process.

schola.scripts.ray.launch – schola.scripts.ray.launch.RLlibArgs (Schola)

class schola.scripts.ray.launch.RLlibArgs(enable_checkpoints: bool = False, checkpoint_dir: str = ‘./ckpt’, save_freq: int = 100000, name_prefix_override: str = None, export_onnx: bool = False, save_final_policy: bool = False, launch_unreal: bool = F…

Module code – schola.scripts.ray.launch (Schola)

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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.