Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Publication
Stronger NAS with Weaker Predictors
Projet
Human-Centered Transparency & Intelligibility in AI
We take a human-centered approach to transparency, empirically studying how to provide stakeholders of ML systems with the right information to achieve their goals.
Vidéo
Reinforcement learning in Minecraft: Challenges and opportunities in multiplayer games
Games have a long history as test beds in pushing AI research forward. From early works on chess and Go to more recent advances on modern video games, researchers have used games as complex decision-making…
Webinaire
Reinforcement learning in Minecraft: Challenges and opportunities in multiplayer games webinar
In this webinar, learn how the latest AI techniques can be applied to multiplayer games in the challenging and diverse 3D environment of Minecraft. Join the researchers as they demonstrate how Project Malmo—a platform for…
Blog de recherche Microsoft
Designer-centered reinforcement learning
In video games, nonplayer characters, bots, and other game agents help bring a digital world and its story to life. They can help make the mission of saving humanity feel urgent, transform every turn of…
