yree11115251

この講義では、マルチエージェント、カリキュラム学習、分散学習など、機械学習エージェントのさまざまな機能について学び、実際に使用することができます。また、好奇心に基づく探索や、可変的な入力にも対応可能な強化学習アルゴリズムについても学習できます。

kyushik

Unity Machine Learning Agentの完全征服（アプリケーション）

인공지능

게임개발자

Reinforcement Learning(RL)

강화학습

Through this course, you will learn and use various functions of machine learning agents, such as multi-agents, curriculum learning, and distributed learning. You will also learn about reinforcement learning algorithms that can respond to curiosity-based exploration and variable inputs.

ramanuzan

qkrdbals16304855

rlforus

yujeongjeong948193

입문

초급

중급이상

유니티

Unity

유니티 머신러닝 에이전트

Unity ML-Agents

Mastering Unity Machine Learning Agents (Application Edition)

Lecture Outline and Introduction

Creating a Dodge Environment

Creating a variable input environment and implementing an algorithm

Creating a Pong Environment

Adversarial PPO

Creating an EscapeRoom Environment

MA-POCA

Creating a Maze Environment

Exploration by RND

Creating a TwoMission Environment

HyperNetwork

End of lecture