mlagents

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)

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…

Unity로 멀티 에이전트 강화학습(MARL) 수행하기 위한 프레임 워크 제공

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

Realistic Robotic Simulator for Pouring Liquids

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

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

Dodge projectiles with Self Play and RL in Unity & ML Agents

A multi-agent environment using Unity ML-Agents Toolkit

A multi-agent environment using Unity ML-Agents Toolkit where two agents compete in a 1vs1 tank fight game

🧩 Create your own puzzle, use my agents to solve it 🤖 try them out! 🧩

Tensor Jam with ML-Agents for Unity3D!

Use of reinforcement learning with PPO to train an Agent that can beat the first level of Donkey Kong

A simple benchmark project that compares AI driving agents and rule-based kart controllers in Unity. It tracks performance, replayability, and human-like driving behavior in a fully reproducible setup.

Training an AI for Total Wipeout using Unity MLAgents

Target Strike game is an unity based compititive game. This game is created for CS662 - Mobile VR & AI course offered at IIT Mandi. Here the source files are given.

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