June 6, 2021 - June 11, 2021

Microsoft at NAACL 2021

Lieu: Virtual

Microsoft Research Blog

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
Blog de recherche Microsoft

| Matthew Hausknecht, Karthik Narasimhan, et Shunyu Yao

AI agents capable of understanding natural language, communicating, and accomplishing tasks hold the promise of revolutionizing the way we interact with computers in our everyday lives. Text-based games, such as the Zork series, act as testbeds for development of novel…