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

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…

Training a car to drive within the lanes in a Unity driving environment

🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !

Realistic Robotic Simulator for Pouring Liquids

Training of agents using Reinforcement and Imitation Learning to simulate human crowds behavior, using Unity and ML-Agents Toolkit

A multi-agent environment using Unity 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

MLAgents Unity project for Training and tweaking simple Tank agents

Training an AI for Total Wipeout using Unity MLAgents

Autonomous Racing Car Learning Environment using Unity and ML-Agents.

Pacman AI implementation, credit to Volkan IlBeyli for the PacMan clone base->

Simple ball seeking target

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.