A framework that allows people to write their own Rocket League bots.

Overview

YOU PROBABLY SHOULDN'T PULL THIS REPO

Bot Makers Read This!

If you just want to make a bot, you don't need to be here. Instead, start with one of these:

If you just want to play with some bots, you can go to RLBotGUI to easily start matches with bots

Framework Contributors

This repository is currently incomplete to meet the legal needs of the Psyonix API. It is missing the source code behind RLBot.exe, and a few other files. If you want to make a code change that involves RLBot.exe (or the interface dll since it's closely related), you'll need some help from someone with access to the closed repo.

We expect we'll be able to open-source everything eventually, and then this repo will be back in business.

NOTICE: We intend to cherry-pick any commits you make here into the closed repo. At a later date, when we have permission to open-source everything, we will force push the closed repo to this master branch. Your commits will still be there with proper attribution, but if you have any work in progress, it will need to be rebased at that time.

RLBot

Framework Info

The RLBot framework helps people create bots for use in Rocket League's offline modes, just for fun. It provides values from the game like car and ball position, and carries back button presses. RLBot works for up to 10 bots reliably; it can be used up to 64, but can result in issues (bots disappearing after goals, spawning inside one another, etc).

Requirements

Rocket League, Python 3.6+

Quick Start

  1. Run setup.bat (or equivalent if you're on Linux or Mac)
  2. Open a terminal and execute python runner.py

Development Workflow

The first thing you'll want to do is run setup.bat. This does a lot of important things:

  • Sets up your rlbot installation in pip to link to your local files in this folder. Once you've done this, running rlbot from anywhere on your computer will reference these local files, including the dlls, etc.
  • Generates important code based on the .fbs message spec. Therefore it's a prerequisite for running anything.
  • Installs python package dependencies.

If you're doing work that affects our .dll or .exe files, you should also be aware of:

  • copy-dlls.bat - This copies the debug versions any built dlls from visual studio into the correct subdirectory in the python source folder.
  • copy-dlls-release.bat - This copies the release versions any built dlls from visual studio into the correct subdirectory in the python source folder.

For deploying changes, please see https://github.com/RLBot/RLBot/wiki/Deploying-Changes

When you're done with development and want to get back to the official rlbot version vended from https://pypi.org/project/rlbot/, the easiest way to do that is simply pip uninstall rlbot. Then the next time you execute a bat file from one of the RLBot*Example repos, a fresh copy will be installed from pip.

Wikis

There's tons of good information at https://github.com/RLBot/RLBot/wiki

Extras

Community Info

Video Example

Video

Tournament History

Tournament results are recorded in our braacket league.

Videos:

The best part

Psyonix Cone gave us a thumbs up! Thumbs up

A flag generation AI created using DeepAIs API

Vex AI or Vexiology AI is an Artifical Intelligence created to generate custom made flag design texts. It uses DeepAIs API. Please be aware that you must include your own DeepAI API key. See instruct

Bernie 10 Apr 06, 2022
:fire: 2D and 3D Face alignment library build using pytorch

Face Recognition Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D an

Adrian Bulat 6k Dec 31, 2022
Benchmarks for Object Detection in Aerial Images

Benchmarks for Object Detection in Aerial Images

Jian Ding 691 Dec 30, 2022
Collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets

The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets

Jun Chen 139 Dec 21, 2022
Code for Understanding Pooling in Graph Neural Networks

Select, Reduce, Connect This repository contains the code used for the experiments of: "Understanding Pooling in Graph Neural Networks" Setup Install

Daniele Grattarola 37 Dec 13, 2022
Pyramid Pooling Transformer for Scene Understanding

Pyramid Pooling Transformer for Scene Understanding Requirements: torch 1.6+ torchvision 0.7.0 timm==0.3.2 Validated on torch 1.6.0, torchvision 0.7.0

Yu-Huan Wu 119 Dec 29, 2022
BERT model training impelmentation using 1024 A100 GPUs for MLPerf Training v1.1

Pre-trained checkpoint and bert config json file Location of checkpoint and bert config json file This MLCommons members Google Drive location contain

SAIT (Samsung Advanced Institute of Technology) 12 Apr 27, 2022
Large dataset storage format for Pytorch

H5Record Large dataset ( 100G, = 1T) storage format for Pytorch (wip) Support python 3 pip install h5record Why? Writing large dataset is still a

theblackcat102 43 Oct 22, 2022
Lightweight Face Image Quality Assessment

LightQNet This is a demo code of training and testing [LightQNet] using Tensorflow. Uncertainty Losses: IDQ loss PCNet loss Uncertainty Networks: Mobi

Kaen 5 Nov 18, 2022
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences

Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point

Fangzhou Hong 112 Dec 23, 2022
MLP-Like Vision Permutator for Visual Recognition (PyTorch)

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition (arxiv) This is a Pytorch implementation of our paper. We present Vision

Qibin (Andrew) Hou 162 Nov 28, 2022
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)

Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio

Google Research 30 Nov 23, 2022
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement

Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement In this project, we proposed a Domain Disentanglement Faster-RCNN (DDF)

19 Nov 24, 2022
Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images

Deep Multi-Magnification Network This repository provides training and inference codes for Deep Multi-Magnification Network published here. Deep Multi

Computational Pathology 12 Aug 06, 2022
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch

Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.

炼丹去了 21 Dec 12, 2022
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

wsss-analysis The code of: A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains, arXiv pre-print 2019 paper.

Lyndon Chan 48 Dec 18, 2022
Toward Multimodal Image-to-Image Translation

BicycleGAN Project Page | Paper | Video Pytorch implementation for multimodal image-to-image translation. For example, given the same night image, our

Jun-Yan Zhu 1.4k Dec 22, 2022
Character Controllers using Motion VAEs

Character Controllers using Motion VAEs This repo is the codebase for the SIGGRAPH 2020 paper with the title above. Please find the paper and demo at

Electronic Arts 165 Jan 03, 2023
Make differentially private training of transformers easy for everyone

private-transformers This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers. What is this? Why

Xuechen Li 73 Dec 28, 2022