The title just about covered it, but.. LIGHT is a rich fantasy text adventure game environment featuring dialogue and actions between agents in the world, which consist of both models and humans.

I will summarize work on this platform, including crowdsourcing and machine learning to build the rich world environment, training agents to speak and act within it, and deploying the game for lifelong learning of agents by interacting with humans.

This is joint work with a number of authors: Emily Dinan, Angela Fan, Samuel Humeau, Saachi Jain, Siddharth Karamcheti, Douwe Kiela, Margaret Li, Shrimai Prabhumoye, Emma Qian, Tim Rocktäschel, Pratik Ringshia, Kurt Shuster, Arthur Szlam, Adina Williams. See https://parl.ai/projects/light/ for papers & more info!

Bio: Jason Weston is a Research Scientist at Facebook, NY and a Visiting Research Professor at NYU. He earned his PhD in Machine Learning at Royal Holloway, University of London and at AT&T Research in Red Bank, NJ (advisors: Alex Gammerman, Volodya Vovk and Vladimir Vapnik) in 2000. From 2000 to 2001, he was a Researcher at Biowulf Technologies. From 2002 to 2003 he was a Research Scientist at the Max Planck Institute for Biological Cybernetics in Tuebingen, Germany. From 2003 to 2009 he was a research staff member at NEC Labs America, Princeton. From 2009 to 2014 he was a Research Scientist at Google, NY. His interests lie in statistical machine learning, with a focus on reasoning, memory, perception, interaction and communication. Jason has published over 100 papers, including best paper awards at ICML and ECML, and a Test of Time Award for his work "A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning," ICML 2008 (with Ronan Collobert). He was part of the YouTube team that won a National Academy of Television Arts & Sciences Emmy Award for Technology and Engineering for Personalized Recommendation Engines for Video Discovery. He was listed as the 16th most influential machine learning scholar at AMiner and one of the top 50 authors in Computer Science in Science.