Language for Learning and Interaction | Montréal
Building interactive language agents that make sense of the world’s information
新闻与深度文章
From a research point of view, games offer an amazing environment in which to develop new machine learning algorithms and techniques. And we hope, in due course, that those new algorithms will feed back not just into gaming, but into…
Reinforcement learning is about agents taking information from the world and learning a policy for interacting with it, so that they perform better. So, you can imagine a future where, every time you type on the keyboard, the keyboard learns…
| Adam Trischler, Marc-Alexandre Côté, 和 Pedro Lima
Public competitions often help to advance the state of the art in challenging research problems. They frame a question, provide relevant data, and define evaluation metrics so that researchers across the world can work toward a shared goal—and ultimately learn…
Episode 64, February 20, 2019 – Dr. Layla El Asri talks about the particular challenges she and other scientists face in building sophisticated dialogue systems that lay the foundation for talking machines. She also explains how reinforcement learning, in the…
First TextWorld Problems—Microsoft Research Montreal’s latest AI competition is really cooking
| Wendy Tay 和 Adam Trischler
This week, Microsoft Research threw down the gauntlet with the launch of a competition challenging researchers around the world to develop AI agents that can solve text-based games. Conceived by the Machine Reading Comprehension team at Microsoft Research Montreal, the…
新闻报道 | Emily Short's Interactive Storytelling
TextWorld (Inform 7 & machine learning)
Researchers from Tilburg University, McGill University, and Microsoft Research built text adventure worlds with Inform 7 as part of an experiment in reinforcement learning.
新闻报道 | Towards Data Science
What’s New in Deep Learning Research: Microsoft’s TextWorld is the OpenAI Gym of Language Learning Agents
Recently, researchers from the Microsoft Research Montreal Lab, released an open source project called TextWorld, which attempts to train reinforcement learning agents using Text-Based games.
新闻报道 | MSPoweruser
Microsoft Research announces TextWorld, an extensible framework for generating text-based games
Microsoft Research Montreal lab last week announced an open-source project called TextWorld. TextWorld is an extensible framework based on Python which can be used for generating text-based games. Researchers can use this framework to train and test AI agents in…
新闻报道 | The Register
Microsoft’s TextWorld gives AI a Zork-like challenge
While the rest of the Microsoft world squeaked with excitement about new hardware and free collaboration tools, the boffins at Redmond’s Montréal Research Lab have looked to history as way to help Reinforcement Learning (RL) researchers skill up their AI…