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이 강의를 통해 수강생은 다양한 강화학습의 이론을 학습하고 이를 직접 구현해 볼 뿐만 아니라 유니티 머신러닝 에이전트를 이용하여 구현한 강화학습 알고리즘을 테스트해볼 강화학습 환경까지 직접 제작해볼 수 있습니다.

민규식

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유니티 머신러닝 에이전트 완전정복 (기초편)

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

kyushik

ramanuzan

raptorjung4768

yujeongjeong948193

qkrdbals16304855

rlforus

입문

초급

중급이상

Reinforcement Learning(RL)

Machine Learning(ML)

유니티

Unity

유니티 머신러닝 에이전트

Unity ML-Agents

Complete Guide to Unity Machine Learning Agents (Basics)

Lecture Outline and Introduction

Reinforcement Learning Overview

Explore Unity Machine Learning Agents

Creating a Gridworld Environment

DQN algorithm

A2C algorithm

Creating a drone environment

DDPG algorithm

Creating a kart racing environment

Behavioral Cloning Algorithm

End of lecture