Unity 강화학습 알고리즘 및 게임 환경을 제공합니다.

Drone challenge with ML-Agents

Implementation of several versions of the Deep Q-Learning agent for Reinforcement learning using the PyTorch library and training in the Banana game environment of the Unity ML-Agents framework

機械学習でパッ○マンをプレイさせる

This repo contains various build versions of my Boat Attack with ML-Agents repo.

A part of my project: RL SAC algorithm implementation on Unity.

The purpose of this project is to train an adaptive solar panel robotic system using reinforcement learning combining shadow detection and solar tracking to maximize power outputs

3DBall a simple ML-Agents environment (from release_1 branch) used as an example to test my mlagents-video-streamer python package.

심층강화학습기반 장애물과 신호등을 고려한 다차선 자율주행 연구

Simulation of self-driving cars in Unity using the ML-Agents library