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37 lines (37 loc) · 1.13 KB
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cff-version: 1.2.0
title: ScholaExamples
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Alexander
family-names: Cann
name-particle: Alexander
email: alexcann@amd.com
affiliation: AMD
- given-names: Tian Yue
family-names: Liu
email: TianYue.Liu@amd.com
affiliation: AMD
- given-names: Nathan
family-names: Hung
email: Nathan.Hung@amd.com
affiliation: AMD
- given-names: Mehdi
family-names: Saeedi
email: Mehdi.Saeedi@amd.com
affiliation: AMD
repository-code: 'https://github.com/GPUOpen-LibrariesAndSDKs/ScholaExamples'
url: 'https://gpuopen.com/amd-schola/'
abstract: >-
Schola Examples is an Unreal Engine project containing sample environments developed
with the Schola plugin for Unreal Engine. Schola provides tools to help developers create environments,
define agents, and connect to python-based Reinforcement Learning frameworks such as OpenAI Gym, RLlib or Stable Baselines 3.
keywords:
- Reinforcement Learning
- Unreal Engine 5
- Python
license: MIT
version: '1.3'
date-released: '2025-08-01'