Reinforcement learning futbolito scenario trained with Unity ML Agents.
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Updated
Feb 8, 2022 - C#
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.
Repository for the project ML_Robot, a quadruped robot for the implementation of artificial intelligence.
AI based Massive Multiplayer Online Simulation
Concept and development of a walking AT-ST Walker (Starwars) ML-agent.
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
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
I tried to train AI to learn how to kart with Reinforcement Learning using UnityML-Agents
A self driving car created using Unity ML-Agents
Samples for TensorFlow binding for .NET by Lost Tech
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
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