A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
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Updated
Feb 8, 2021 - C#
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Samples for TensorFlow binding for .NET by Lost Tech
A self driving car created using Unity ML-Agents
Age of war clone made in unity in order to speed up the neat algorithm training process. The values are extracted from the original game. It Communicates with a python script
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
I tried to train AI to learn how to kart with Reinforcement Learning using UnityML-Agents
AI based Massive Multiplayer Online Simulation
Concept and development of a walking AT-ST Walker (Starwars) ML-agent.
Repository for the project ML_Robot, a quadruped robot for the implementation of artificial intelligence.
Reinforcement learning futbolito scenario trained with Unity ML Agents.
This project was developed for a paper that studies the use of Finite State-Machines in combination with Reinforcement Learning for simulating non-player characters.
This repository contains a University project on the Reinforcement Learning subject, in which we develop a bot able to use some of Brandon Sanderson's Mistborn fantasy book's abilities in order to reach a goal in a 2D platform environment.
This is a real-time strategy game done in Unity and hosted on GitHub Pages as a CS Senior Project.
In this example, I created a city block like environment where i trained an ml agent to move and dodge obstacles and collect green spheres.
A simple demo showing asteroids with ML-Agents
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