Democratizing deep reinforcement learning

Danny Lange offers an overview of deep reinforcement learning, an exciting new chapter in AIs history that is changing the way we develop and test learning algorithms that can later be used in real life.

Machine learning is quickly becoming essential for developers and researchers aiming to make their games or systems smarter, but complexities and technical barriers have kept it out of reach for most—until now. Danny Lange offers an overview of deep reinforcement learning, an exciting new chapter in AI’s history that is changing the way we develop and test learning algorithms that can later be used in real life. This means that we will be able to study complex behaviors in real competitive and cooperative scenarios, such as those found in industrial robotics and autonomous vehicle testing. Join Danny to learn the basics of this critical future technology and understand how it could affect your business. You’ll learn how AI agents can be trained in complex scenarios and utilize machine learning to make systems smarter and reduce human bias. 机器学习是一项颠覆性的技术，它对开发和研究人员都非常重要，可以让他们的游戏或系统更加的智能。但是，复杂性和技术障碍让机器学习长期以来无法得到应用，直到最近。本演讲将会介绍AI历史上一个令人激动的新篇章，它将会改变我们开发和测试的那些会用于现实生活的学习算法的方式。这意味着我们能够在真实的竞争与合作场景下学习复杂的行为，诸如在工业机器人和无人驾驶测试的场景里。听众将能理解这一关键未来技术的基石，以及它将如何影响你的业务。听众还将学习AI代理如何在复杂的场景下被训练，以及使用机器学习来让他们的系统更智能，降低人为的偏差。