This work proposes an engine for the Creation Of Novel Adventure Narrative (CONAN), which is a procedural quest generator. It uses a planning approach to story generation. The engine is tested on its ability to create quests, which are sets of actions that must be performed in order to achieve a certain goal, usually for a reward. The engine takes in a world description represented as a set of facts, including characters, locations, and items, and generates quests according to the state of the world and the preferences of the characters. We evaluate quests through the classification of the motivations behind the quests, based on the sequences of actions required to complete the quests. We also compare different world descriptions and analyze the difference in motivations for the quests produced by the engine. Compared against human structural quest analysis, the current engine was found to be able to replicate the quest structures found in commercial video game quests.
School of Computer Science & Technology, Beijing Institute of Technology（北京理工大学计算机科学与技术学院）；Institute for AI, Peking University（北京大学人工智能研究院）；Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China（北京理工大学长三角研究院（嘉兴））；National Key Laboratory of General Artificial Intelligence, BIGAI（北京通用人工智能研究院通用人工智能全国重点实验室）
Situated Dialogue Learning through Procedural Environment Generation
Georgia Institute of Technology（佐治亚理工学院）；Allen Institute for AI（艾伦人工智能研究所）
我们教目标驱动的代理交互式的行为和说话，在所处的环境中，通过训练生成的campaums。我们的代理人在LIGHT（Urbanek et al. 2019）中运行-这是一款大型众包幻想文本冒险游戏，其中代理人通过文本自然语言感知世界并与世界互动。在这种环境中，目标采取基于角色的任务形式，包括人物角色和动机。我们通过学习程序化地生成额外的新文本世界和任务来增强LIGHT，以创建一个稳步增加难度的课程，用于训练代理实现这些目标。特别是，我们根据原始训练分布中任务的稀有性来衡量课程难度--一个更容易的环境是一个更有可能在未增强的数据集中找到的环境。一项消融研究表明，这种从分布尾部学习的方法可以显著提高泛化能力，这是通过对从未见过的任务的zero-shot性能来衡量的。
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
OpenGVLab（开放通用视觉实验室）；Shanghai AI Laboratory（上海人工智能实验室）；Beijing Institute of Technology（北京理工大学）；Zhejiang University（浙江大学）；The University of Hong Kong（香港大学）
