Google DeepMind推文
从雅达利到EVE Online：谷歌DeepMind延续15年游戏AI研究
谷歌DeepMind宣布与游戏公司Fenris Creations合作，在EVE Online中探索持续学习、深度记忆、长期规划和多智能体动态等AI挑战，旨在推动游戏AI研究并应用于现实世界。
译文
游戏在过去15年多的时间里，一直是我们AI研究的重要试验场。🎮 从掌握Atari到在《星际争霸II》中达到宗师级别，它们推动了我们一些最重大的AI突破。我们与SIMA的合作教会了智能体如何理解3D世界，但要学会应对真实的人类动态，需要一个鲜活、持续存在的宇宙。通过与@FenrisCreations的研究合作，我们正在探索如何应对AI领域的开放性挑战：🔵 持续学习——在获取新技能的同时不遗忘已有知识。🔵 深度记忆系统——存储和检索远超当前上下文窗口的信息。🔵 长期规划——跨越数周、数月甚至数年的规划能力。🔵 多智能体动态——涵盖合作、谈判、经济学和涌现行为。我们的长期目标是与游戏开发者合作，利用AI发现全新的游戏体验——让游戏更易上手、更个性化——同时将所学应用于现实世界和科学发现中的问题。了解更多 → https://goo.gle/4xcwzOH
Games have been an important testbed for our AI research for over 15 years. 🎮 From mastering Atari to reaching Grandmaster in StarCraft II, they have driven some of our biggest AI breakthroughs. Our work with SIMA taught agents how to understand 3D worlds, but learning to navigate real human dynamics takes a living, persistent universe. Through our research partnership with @FenrisCreations, we’re exploring how to tackle open challenges in AI: 🔵 Continual learning to acquire new skills without forgetting past knowledge. 🔵 Deep memory systems that store and retrieve information far beyond today’s context windows. 🔵 Long-horizon planning over weeks, months, or years. 🔵 Multi-agent dynamics spanning cooperation, negotiation, economics, and emergent behaviors. Our long-term goal is to use AI to discover entirely new gameplay experiences in partnership with game developers – making games more accessible and personalized – while applying what we've learned to problems in the real world and scientific discovery. Find out more → https://goo.gle/4xcwzOH