2021年6月6日 – 2021年6月11日

Microsoft at NAACL 2021

地点： Virtual

微软研究院博客

New research explores reinforcement learning methods to improve semantic understanding in text agents, a key process by which AI understands and reacts to text-based input. Learning agents understand the world by parsing observations: West of House You are standing in an open field west of a white house, with a boarded front door. There is a small mailbox here. And generate language-based actions that change the state of the game: > south South of House You are facing the south side of a white house. There is no door here, and all the windows are boarded. > east Behind House You are behind the white house. A path leads into the forest to the east. In one corner of the house there is a small wndow which is slightly ajar. > open window
微软研究院博客

| Matthew Hausknecht, Karthik Narasimhan, 和 Shunyu Yao

AI agents capable of understanding natur…