A major achievement in reinforcement learning research
Video games have proven a popular tool for testing reinforcement learning algorithms. Ms. Pac-Man is regarded as one of the hardest games from the Atari games set for AI to learn, due to the large number of unique situations that can be encountered and the limited number of lives. Maluuba's algorithm achieved the maximum possible score of 999,990 points.
News and updates
Advancing machine comprehension through question generation
10 May 2017
We propose a recurrent neural model that generates natural-language questions.
frames dataset for goal oriented dialogue research released
4 April 2017
Enabling research into truly conversational agents that can support decision-making in complex settings.
teaching artificial intelligence to make decisions and communicate
23 Mar 2017
Teaching machines to gather knowledge, interact with the world, and communicate findings to humans.
Dedicated to tackling big challenges in language understanding and artificial intelligence
With a focus on deep learning and reinforcement learning, our growing team of renowned experts is working closely with industry and academia. Now, as part of Microsoft, Maluuba is accelerating our approach to drive breakthroughs in AI research and application. Learn more about our vision, access our academic publications and interact with our public datasets.
Working at Maluuba
"Our research seeks to create literate machines. It’s an ambitious goal and we need big thinkers and dreamers to help achieve it."
Kaheer Suleman, CTO and Co-Founder
We're looking for talented and motivated people to join our team! Learn more about our vision, our work culture and benefits and view our career opportunities.