ml-agent_介绍首个ML-Agent挑战赛的获胜者
ml-agent
From the moment we introduced it last September, the developer community has wholeheartedly embraced the ML-Agents Toolkit beta. We’ve seen people use this toolkit to create environments, train agents for different use cases, and even apply them to their games and apps.
从我们去年9月推出它的那一刻起，开发人员社区就全心全意地接受了ML-Agents Toolkit beta 。 我们已经看到人们使用此工具包来创建环境，为不同用例培训代理，甚至将其应用于他们的游戏和应用。
Small project I’ve done to experiment deep learning #unity3d ML-Agents. Very promising. Congrats to @awjuliani and his team! pic.twitter.com/GS0E4CwTu0
我已经做过一个小项目，用于试验深度学习＃unity3d ML-Agents。 非常有前途。 恭喜@awjuliani和他的团队！ pic.twitter.com/GS0E4CwTu0
— Maxime Plantady (@MaximePlantady) October 2, 2017
— Maxime Plantady(@MaximePlantady) ，2017年10月2日
I’ve been playing with machine learning and Unity a lot lately. This was one of my first tests. The blue things are trained to push a block to jump over the wall. Left 10k iterations, middle 100k, right 500k. pic.twitter.com/0mMRvRGJqy
最近，我一直在玩机器学习和Unity。 这是我的第一个测试。 蓝色的东西经过训练，可以推开障碍物跳到墙上。 左10k迭代，中100k，右500k。 pic.twitter.com/0mMRvRGJqy
— Renaud Forestié (@Reuno) December 18, 2017
— RenaudForestié(@Reuno) 2017年12月18日
All of this has inspired us to find new ways to connect our developers for the exchange of exciting training ideas, to inspire new use cases, and to reward community contributions. On Dec 8, 2017, we launched a dedicated discussion channel on Unity Connect and kicked off our very first ML-Agents challenge. Today, we are announcing the competition’s winners, determined by voting from the entire Unity Machine Learning team.
所有这些都激发了我们寻找新的方法，以联系我们的开发人员，以交换令人兴奋的培训思想，激发新的用例并奖励社区的贡献。 2017年12月8日，我们在Unity Connect上启动了专门的讨论频道，并开始了我们的第一个ML-Agents挑战 。 今天，我们宣布了竞赛的优胜者，这是由整个Unity Machine Learning团队投票决定的。
获奖者是… (And the winners are…)
No.1 Pass the butter // Pancake bot
Making the perfect pancake doesn’t have to be hard, nor does it require any real cooking skills. Plus, who doesn’t like pancakes? Or robots for that matter?
制作完美的煎饼不必太难，也不需要任何真正的烹饪技能。 另外，谁不喜欢煎饼？ 还是机器人呢？
No.2 Metal Warfare – Real Time Strategy game
第二名金属战–即时策略游戏
Excellent take on how machine learning can be used in strategy games to train and evolve AI.
很好地研究了如何在策略游戏中使用机器学习来训练和发展AI。
No.3 Hide/Escape – Avoidance of Pursuing Enemies
No.3 隐藏/逃生-避免追求敌人
Based on the stealth genre of games, a new way to hide from traditional game AIs.
基于游戏的隐身类型，这是一种隐藏在传统游戏AI中的新方法。
For this challenge, we also have a special award for the project which received most likes from the community.
对于这一挑战，我们还为该项目颁发了特别奖项，该奖项获得了社区的极大好评。
Most Liked Project Award
最喜欢的项目奖
2nd Most Liked Project Award
第二届最受欢迎的项目奖
In addition to the four prize winners above, we also selected the following four projects as the ML-Agents Creative Application Award winners.
除了上述四个获奖者之外，我们还选择了以下四个项目作为ML-Agents创意应用程序大奖的获得者。
Vehicle Environment Static Environment
Congratulations to the winners and thanks to all who participated in our very first machine learning challenge! All winners will soon receive instructions on how to claim their prizes. And we will feature all winning projects on the Unity3d.ai official portal.
祝贺获奖者，并感谢所有参加我们第一个机器学习挑战赛的人！ 所有获奖者都将很快收到有关如何领取奖品的说明。 我们还将在Unity3d.ai官方门户网站上展示所有获奖项目。
在GDC 2018上认识我们 (Meet us at GDC 2018)
We will release ML-Agents Toolkit v0.3 during the week of GDC 2018. And we’d like to invite you to meet with our team to learn more about the new features! We have a series of Machine Learning programs at this GDC, which you can see below: and here is a list for you to preview.
我们将在GDC 2018的一周内发布ML-Agents Toolkit v0.3。我们想邀请您与我们的团队见面，以了解有关新功能的更多信息！ 我们在此GDC上提供了一系列机器学习程序，您可以在下面看到它们：这是供您预览的列表。
At GDC West Hall: Unity for Deep Learning: ML-Agents Toolkit explained
在GDC西厅： 深度学习的统一：ML-Agents工具包介绍
- Unity ML-Agents Toolkit Hands-on Lab Unity ML-Agents工具包动手实验
- Unity Machine Learning office hours Unity Machine Learning办公时间
Unity Machine Learning Roundtable
If you have used ML-Agents or machine learning in games, we want to hear your experiences, insights, and feedback. Fill out the sign-up form to be part of the future of Unity Machine Learning development. Sessions will be held March 21, 11:00 – 12:00 and March 22, 2:30 – 3:30.
如果您在游戏中使用过ML-Agent或机器学习，我们希望听听您的经验，见解和反馈。 填写注册表格 ，以作为Unity机器学习开发未来的一部分。 会议将于3月21日11:00 – 12:00和3月22日2:30 – 3:30举行。
Looking forward to meeting you at GDC 2018!
期待与您在GDC 2018见面！
翻译自: https://blogs.unity3d.com/2018/02/28/introducing-the-winners-of-the-first-ml-agents-challenge/
ml-agent