OpenAI在2020年发布的论文《Learning to Summarize from Human Feedback》[Stiennon et al., 2020],探索了人类反馈强化学习(RLHF)的方法,通过从人类的偏好中学习,以改进AI系统的输出质量。然而,RLHF主要关注的是当前人类的价值观,没有考虑价值观的动态演化。 此外,一些研究工作将对齐与道德直接联系起来。例如,Bai等...
我将从一个叫做“Behavior is a new North Star for robotic learning and embody AI”(后续作者简称为Behavior)的项目开始。这是一个面向日常家务的基准测试,旨在虚拟互动和生态环境中进行。这个名字有点复杂,很多学生为Behavior项目做出了贡献。 目前,Behavior项目包含了1000个日常任务,涵盖了人们日常做的事情。这个...
A new cross-disciplinary study by Washington University in St. Louis researchers has uncovered an unexpected psychological phenomenon at the intersection of human behavior and artificial intelligence: When told they were training AI to play a bargaining game, participants actively adjusted their own behav...
1) The diversity of behaviors they learned were broader, and closer to the human demonstrations. 2) The rate of task completion (a proxy for reward) was better. The videos below highlight the ability of diffusion to capture multimodal behavior–starting from the same initial conditions...
Generative Agents: Interactive Simulacra of Human Behavior - Stanford University - 2023-04arxiv.org/pdf/2304.03442.pdf 1. 生成式智能体:交互模拟人类行为 研究人员创建了一个有25人的小镇,他们为每个虚拟人编写了人物介绍,并为每个智能体都配置了可以与环境进行交互的记忆系统。 1.1 为每个AI编写人设 Jo...
doi:10.1007/978-981-19-1496-6_3In general, AI is defined as mechanical devices that are capable of calculating, learning, and making decisions autonomously.Lee, JaeminSeoul National University
-《Generative Agents: Interactive Simulacra of Human Behavior》是由斯坦福大学和谷歌联手推出的论文,这项研究构建了一个由25个AI智能体构成的虚拟小镇,在两天的模拟中智能体展现出了可信的人类行为和社会交往能力。 - 这项研究为AI驱动的开放世界的NPC构建提供了功能原型,以此为地基我们可能正在触及类似《西部世界》...
-《Generative Agents: Interactive Simulacra of Human Behavior》是由斯坦福大学和谷歌联手推出的论文,这项研究构建了一个由25个AI智能体构成的虚拟小镇,在两天的模拟中智能体展现出了可信的人类行为和社会交往能力。 - 这项研究为AI驱动的开...
【19】For several years, my colleagues and I have studied and worked with hundreds of winning companies who are successfully building these human-AI relationships. 多年以来, 我和我的同事们学习 并与数百家成功利用 AI 获利的公司合作, 它们已经成功地建立了 这种人类与 AI 的关系。
In her studies, she saw that people tended to interpret robots quite well and without much effort. "Intuition helps us," van Otterdijk says. "However, when the robot's behavior contradicts human behavior, things become difficult. For example, if the robot says 'hello' or 'have a good tim...