第22天：如何使用OpenAI Gym和Universe构建AI游戏机器人

by Harini Janakiraman

通过哈里尼·贾纳基拉曼

第22天：如何使用OpenAI Gym和Universe构建AI游戏机器人 (Day 22: How to build an AI Game Bot using OpenAI Gym and Universe)

Let’s face it, AI is everywhere. A face-off battle is unfolding between Elon Musk and Mark Zuckerberg on the future of AI. There are some that demonize it. And some whose utopian views claim that AI could almost be God-like in helping humanity. Whichever side your views tilt, AI is here to stay.

面对现实，人工智能无处不在。 埃隆·马斯克(Elon Musk)和马克·扎克伯格(Mark Zuckerberg)之间就AI的未来展开的对抗之战正在展开。 有一些妖魔化了它。 还有一些人以乌托邦的观点声称，人工智能在帮助人类方面几乎可以像上帝一样。 无论您的观点偏向哪一侧，人工智能都将继续存在。

“With artificial intelligence, we are summoning the demon.” — Elon Musk

“借助人工智能，我们正在召唤恶魔。” —伊隆·马斯克(Elon Musk)

“Fearing a rise of killer robots is like worrying about overpopulation on Mars.” — Andrew Ng

“害怕杀手机器人的崛起就像担心火星上的人口过多。” －吴彦祖

If you’re excited to dive right in and tinker with AI, then games are a great place to start. They have been the go-to testbed for AI. But before jumping in, here’s a little bit of history on how game programming has evolved through time.

如果您很高兴直接潜入并尝试AI，那么游戏就是一个不错的起点。 它们已成为AI的首选测试平台。 但是在进入之前，这里有一些关于游戏编程如何随着时间演变的历史。

游戏编程的历史 (The History of Game Programming)

Game programmers used to use heuristic if-then-else type decisions to make educated guesses. We saw this in the earliest arcade videos games such as Pong and PacMan. This trend was the norm for a very long time. But game developers can only predict so many scenarios and edge cases so your bot doesn’t run in circles!

游戏程序员过去常常使用启发式的if-then-else类型决策来进行有根据的猜测。 我们在最早的街机视频游戏(例如Pong和PacMan)中看到了这一点。 长期以来，这种趋势一直是常态。 但是游戏开发人员只能预测这么多的场景和极端情况，因此您的机器人不会运转！

Game developers then tried to mimic how humans would play a game, and modeled human intelligence in a game bot.

然后，游戏开发人员试图模仿人类如何玩游戏，并在游戏机器人中模拟人类智能。

The team at DeepMind did this by generalizing and modeling intelligence to solve any Atari game thrown at it. The game bot used deep learning neural networks that would have no game-specifi