There are 2 repositories under mlagents topic.
Repository for Open Source Reinforcement Learning Framework JORLDY
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)
Unity로 멀티 에이전트 강화학습(MARL) 수행하기 위한 프레임 워크 제공
🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !
Nowadays Using machine learning methods at simulations systems has been gaining importance with spreading and growing machine learning methods. The main purpose of using simulations get a big gain because of can cause of lots of material and spiritual damages. Simulations can use in the military sector as can use in too diverse areas. developing projects in the defense industry mostly develop as closed source code. So can see open source development in the defense industry is necessary. we build a project that responds to these problems. the project uses web API for getting weather in real-time and uses system time for get three times of the day. uses twelve different simulation environments from three times four. uses Reinforcement learning for training enemy planes. The main motivation for using RL in the project is a success. Used Unity3D game engine, C#(generally) language and Unity Toolkits(MLagents, postprocessing). The aim of authorized persons using aircraft is to destroy the enemy aircraft. The Simulation is supported in English and Turkish. Also developed as supporting other languages structure. The using main aircraft person can control with Arduino-based joystick and keyboard horizontal, vertical buttons.
Training a car to drive within the lanes in a Unity driving environment
A multi-agent environment using Unity ML-Agents Toolkit
Training of agents using Reinforcement and Imitation Learning to simulate human crowds behavior, using Unity and ML-Agents Toolkit
🧩 Create your own puzzle, use my agents to solve it 🤖 try them out! 🧩
Tensor Jam with ML-Agents for Unity3D!
A multi-agent environment using Unity ML-Agents Toolkit where two agents compete in a 1vs1 tank fight game
Autonomous Racing Car Learning Environment using Unity and ML-Agents.
Training an AI for Total Wipeout using Unity MLAgents
MLAgents Unity project for Training and tweaking simple Tank agents
A project created with ML-Agents for AIs that play table tennis.
A Self Driving Car, written in the Unity game engine, that uses deep reinforcement learning, ray casting and imitation learning to drive around a track on its own.
Most important scripts from my final degree project using MLAgents (Deep Reinforcement Learning) and Unity. It also includes a traditional AI algorithm to be compared with the ML one. Both AIs (ML and heuristic) had very similar results in a bird race, both AI methods are valid for this type of game.
ML-Agents Training Environments for Reinforcement Learning
Unity project for the course Intelligent Agents.
projet-specialise-2022-Paracetamol56 created by GitHub Classroom
Unity ML Agents project to train a virtual dog to use a tray
This is a ML Unity project that works with ML agents RL to train a flying-trigger enemy NPC.
A comparison between Reinforcement and Imitation Learning techniques for Multi-Agent 3D Racing using sensor-based approaches.
Reinforcement learning approach to physics based car which learns to avoid obstacles. Project was made in Unity, using MLAgents, reinfercement learning and C# scripts. The car recieves positive reward for driving into the goal and negative reward for driving into the walls, obstacles or for circling around.
An experiment in teaching a neural network how to play the popular medieval English version of Nine Men's Morris using Unity3D 2020.1 and TensorFlow with adversarial self-play and PPO.