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

Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):

qiskit-application-modules-demo-sessions This repo hosts demo notebooks for the Qiskit application modules demo sessions hosted on Qiskit YouTube. Par

Qiskit Community 46 Nov 24, 2022
Official implementation for the paper "SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization".

SAPE Project page Paper Official implementation for the paper "SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization". Environment Cre

36 Dec 09, 2022
A command line simple note taking app

Why yet another note taking program? note was designed with a very specific target in mind: me, and my 2354 scraps of paper. It runs from the command

64 Nov 20, 2022
Moment-DETR code and QVHighlights dataset

Moment-DETR QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries Jie Lei, Tamara L. Berg, Mohit Bansal For dataset de

Jie Lei 雷杰 133 Dec 22, 2022
Code repository for Semantic Terrain Classification for Off-Road Autonomous Driving

BEVNet Datasets Datasets should be put inside data/. For example, data/semantic_kitti_4class_100x100. Training BEVNet-S Example: cd experiments bash t

(Brian) JoonHo Lee 24 Dec 12, 2022
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Keras-ICNet [paper] Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images. Training in progress! Requisites Python 3.6.3 K

Aitor Ruano 87 Dec 16, 2022
PyoMyo - Python Opensource Myo library

PyoMyo Python module for the Thalmic Labs Myo armband. Cross platform and multithreaded and works without the Myo SDK. pip install pyomyo Documentati

PerlinWarp 81 Jan 08, 2023
This repository contains the official code of the paper Equivariant Subgraph Aggregation Networks (ICLR 2022)

Equivariant Subgraph Aggregation Networks (ESAN) This repository contains the official code of the paper Equivariant Subgraph Aggregation Networks (IC

Beatrice Bevilacqua 59 Dec 13, 2022
The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".

Kernelized-HRM Jiashuo Liu, Zheyuan Hu The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization"[1]. This repo contains the cod

Liu Jiashuo 8 Nov 20, 2022
This is the code used in the paper "Entity Embeddings of Categorical Variables".

This is the code used in the paper "Entity Embeddings of Categorical Variables". If you want to get the original version of the code used for the Kagg

Cheng Guo 845 Nov 29, 2022
ECAENet (TensorFlow and Keras)

ECAENet: EfficientNet with Efficient Channel Attention for Plant Species Recognition (SCI:Q3) (Journal of Intelligent & Fuzzy Systems)

4 Dec 22, 2022
[WACV 2022] Contextual Gradient Scaling for Few-Shot Learning

CxGrad - Official PyTorch Implementation Contextual Gradient Scaling for Few-Shot Learning Sanghyuk Lee, Seunghyun Lee, and Byung Cheol Song In WACV 2

Sanghyuk Lee 4 Dec 05, 2022
Local Attention - Flax module for Jax

Local Attention - Flax Autoregressive Local Attention - Flax module for Jax Install $ pip install local-attention-flax Usage from jax import random fr

Phil Wang 16 Jun 16, 2022
Data and analysis code for an MS on SK VOC genomes phenotyping/neutralisation assays

Description Summary of phylogenomic methods and analyses used in "Immunogenicity of convalescent and vaccinated sera against clinical isolates of ance

Finlay Maguire 1 Jan 06, 2022
CLIP (Contrastive Language–Image Pre-training) for Italian

Italian CLIP CLIP (Radford et al., 2021) is a multimodal model that can learn to represent images and text jointly in the same space. In this project,

Italian CLIP 114 Dec 29, 2022
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Adversrial Machine Learning Benchmarks This code belongs to the papers: Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? Det

Adversarial Machine Learning 9 Nov 27, 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
U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch

U-Net Implementation By Christopher Ley This is my interpretation and implementation of the famous paper "U-Net: Convolutional Networks for Biomedical

Christopher Ley 1 Jan 06, 2022
Python Library for Signal/Image Data Analysis with Transport Methods

PyTransKit Python Transport Based Signal Processing Toolkit Website and documentation: https://pytranskit.readthedocs.io/ Installation The library cou

24 Dec 23, 2022
Train neural network for semantic segmentation (deep lab V3) with pytorch in less then 50 lines of code

Train neural network for semantic segmentation (deep lab V3) with pytorch in 50 lines of code Train net semantic segmentation net using Trans10K datas

17 Dec 19, 2022