oruburos Goto Github PK

abmpsyrts

amnesiathedarkdescent

astarpythongui

A * algorithm done in Python

behaviortree101

First implementation of a Behavior Tree implemented in c++

calltree

A slim Behaviour Tree implementation.

codigoscrabble

Scrabble game in java, using networking and threads

deep-rts

A Real-Time-Strategy game for Deep Learning research

exppsyrts

Base code based on SC js to perform experimental psychology tests in a RTS environment

exppsywl

Weight Lost Tasks - Experimental Psychology

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

football

footballcpp

gsoc2020

Summary of GSOC2020 participation

helloworld

hwbt

liz

Lizard brain for game entities - a data-oriented behavior tree library in C

mario-astar-robinbaumgarten

A* Mario AI as used by Robin Baumgarten for the CIG 2009 Mario AI competition

masonsoccer

MultiAgentSystem: agents playing football reactively

milsymbol

Military Symbols in JavaScript

milsymbol-generator

Military symbol generator based on milsymbol.js

myzoo

Neuromatch thing for trying to play with gerrymandering and RL

nintendotowerdefense

Tower Defense Game with Super Mario Characters

nmc-box

NMC Box: almost ready to deploy virtual conference setup. Use this repo as a template for your conference.

noclip.website

A digital museum of video game levels

onelife

a multiplayer survival game of parenting and civilization building

open-project-1

Unity Open Project #1: Chop Chop

outbreak

A playable disease simulator written in React

p5.js

p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs —

p5.js-web-editor

p5.js Web Editor, officially launched!

plark_ai_public

Montvieux has developed “The hunting of the PLARK” Artificial Intelligence (AI) testbed to support a Hackathon activity at the Alan Turing Institute (ATI). The testbed is very flexible and will support both short term exercises in the Hackathon and provide a basis for more extensive, long-term, and cutting edge research. The test bed can be used as a basis to research the limits of agent generalisation, co-operation, and deception in a defence environment.