Search Results for "deep learning ai"
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Showing 24 open source projects for "deep learning ai"
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openage
Open source clone of the Age of Empires II engine
openage is a free cross-platform RTS game engine that provides the mechanics of Age of Empires. Using modern technologies as C++17, OpenGL/GLSL, Python, Qt5 and CMake allows people using GNU/Linux, BSD, macOS or Windows to play the game natively. Our aim is to make openage a platform for the original Age of Empires games providing the same look and feel, but with more features for modding and multiplayer. openage uses an open API powered by our human-readable configuration language nyan. We... -
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ViZDoom
Doom-based AI research platform for reinforcement learning
ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community... -
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Ct.js
Ct.js is a desktop game engine that makes learning programming fun
ct.js makes learning programming fun and game development easy by its visual tools, good docs and flexible, modular library. It is free, open-source, and is loved by hobbyists, professionals, teachers, and their students. Bad tools hinder your performance. Ct.js is designed to be like a brush with which you create games, not to be an enemy you will fight with. ct.js bundles come with offline docs, tutorials, and editable examples and demos. The code editor highlights errors and provides... -
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Bullet Physics SDK
Real-time collision detection and multi-physics simulation for VR
... using Deep Reinforcement Learning, or using Gradient based optimization (for example LFBGS). In addition, the simulator can be entirely run on CUDA for fast rollouts, in combination with Augmented Random Search. This allows for 1 million simulation steps per second. It is highly recommended to use PyBullet Python bindings for improved support for robotics, reinforcement learning and VR. Use pip install pybullet and checkout the PyBullet Quickstart Guide. -
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AirSim
A simulator for drones, cars and more, built on Unreal Engine
... a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles. For this purpose, AirSim also exposes APIs to retrieve data and control vehicles in a platform independent way. AirSim is fully enabled for multiple vehicles. This capability allows you to create multiple vehicles easily and use APIs to control them. -
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Euler
A distributed graph deep learning framework.
... for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle. -
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
How can we develop artificial intelligence that learns to make sense of complex environments? That learns from others, including humans, how to interact with the world? That learns transferable skills throughout its existence, and applies them to solve new, challenging problems? Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform... -
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Human AI Net
a Human and Artificial Intelligence Network
We are going to teach eachother how to build AI and new kinds of game objects in this network using intuitive dragAndDrop. Its going to be a space for experimenting with fun and useful tools in new ways. Version 0.8.0 has some advanced components that will be working soon. The plan is a massively multiplayer space where we design, evolve, and play with game objects and do AI research together which controls those game objects along with directly playing the games. The main data format is, from... -
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The Star Ships Learning Framework (SSLF) provides basic routines and methods in order to interact with the space shooter Star Ships V2.1. It provides the necessary interfaces for controlling the program's ships and its logic from outside the game.
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RuleRule
A puzzle game of rules acting upon rules. Create the desired pattern.
RuleRule is a game which might be of interest to students and researchers of AI, machine learning and related areas. In this game, rules act and modify other rules (including themselves). The goal is to reach a desired condition (e.g. a checkerboard of red and yellow). Versions For a first test of the game mechanics in your browser, download the Javascript version, coded by Jan-Hendrik Vienup (December 2014, GPL) tested with Firefox, MSIE, Chrome, and Safari : RuleRule3.zip... -
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A space combat simulator game/learning project. All the info in our wiki: https://sourceforge.net/apps/mediawiki/dspirates/index.php?title=Main_Page Our code at: https://deepspacepirates.codeplex.com/SourceControl/latest
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CoffeeMud For AI
CoffeeMudForAI is plaform to design AI in
... computer scientists to build relatively complex AI. 3. To provide a set of agents that non-technical people can play around with and get a feel for how various AI techniques work. CoffeeMudForAI goals 1. To provide a platform to study the non-robotic aspects of AI(AI Planning, inter-agent planning, muti-agent planning, Machine learning, etc.) 2. To provide a game-like platform so people coming from the game AI world can contribute to AI research. -
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Isometric Turn-Based Strategy
A turn-based strategy game in the spirit of Tactics Ogre
The end-goal is a deep, complex tactical turn-based RPG. The main inspirations are the Final Fantasy Tactics series and Tactics Ogre, with plenty of room for innovation. Currently, we are implementing weapons, items, and spells into the battle framework, and soon to come will be the core RPG mechanics, AI, and self-contained missions. The game is being coded in C++ using SDL. -
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Swarm Wars
Safety in numbers.
... neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. Players can take control of organisms, trade resources and organisms in a market, and aid evolution by selective breeding. -
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Brainable is a C++ library containig AI tools for game developpement. You will find in it classes about steering behaviors, pathfinding, learning, decision making... Brainable contains softwares to design graphically different parts of the AI engine.
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A Checkers game implementation in Java that is optimized for AI's. It includes a basic GUI and a trainer for learning AI's. This started as a Checkers program for a Checkers AI contest in the Stanford EPGY 2008 summer AI course.
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Havoc is a python game power by pygame. A bidimensional old school shot'em up with an improved ai, different weapons and different kinds of enemies with different abilities.
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a simple c/s framework software to play Reversi game also known as Othelo, with a well developed AI client, one could develop his/her own client too. Please refer to https://github.com/aijunbai/reversi.git for possible updates.
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Classic game solved with MinMax algorithm (full solution tree) and simple Heuristics. Specially for learning and teaching computer AI
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Turn based Java space strategy game. This consists of a variety of settings, scenarios, and ship types to allow plenty of tactics in play against humans or an AI. It is currently a learning project, but may develop into a stable game.
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iMate is a win32 / Linux desktop mate programme. It offers more features than the already existing desktop mate (AI, learning capacity, growth and limited lifeTime, third party tools to add new behaviour, ...).
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This project is rather dead. It might be of interest to people learning the Allegro library, but not to games players. The engine works, but there is no enemy AI or multiplayer, so there are no opponents to fight against.
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Arkon simulates a universe of interacting entities. It is an experiment with learning experience as its grand goal. The development path is strictly dynamic, starting as a starship simulation with eyes on the possibility of battles among AI-piloted ships
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A MMORPG game focused around the malleability of a 'sandbox' world. Focused on learning more about living in the real world. Item creation, vast map with natural boundaries. AI systems. Projected to be an educational yet fun game.
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