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Awards | ACM
Susan Dumais elected into ACM SIGIR Academy
Susan Dumais was inducted into the first class of the ACM SIGIR Academy (opens in new tab) in recognition of her significant, cumulative contributions to the development of the field of information retrieval (IR). Susan is a leader in IR,…
Research Collection – Reinforcement Learning at Microsoft
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…
In the news | The AI Blog
With reinforcement learning, Microsoft brings a new class of AI solutions to customers
Countless companies use online recommendation engines to show customers products and experiences that match their interests. And yet, traditional machine learning models that predict what people might prefer are often based on data from past experience.
In the news | Microsoft News Russia
Sber and Microsoft develop a unique AI robot control system
Sber and Microsoft Research summed up the results of a joint project launched in October 2019 to develop a unique AI system that offers the opportunity to teach robots to manipulate physical objects of unstable shape in almost the same…
In the news | Machine Learning (Theory)
HOMER: Provable Exploration in Reinforcement Learning
Last week at ICML 2020, Mikael Henaff (opens in new tab), Akshay Krishnamurthy (opens in new tab), John Langford (opens in new tab) and Dipendra Misra had a paper on a new reinforcement learning (RL) algorithm that solves three key problems in RL:…
In the news | Medium | Machine Learning
HOMER: Provable Exploration in Reinforcement Learning
At ICML 2020, Mikael Henaff, Akshay Krishnamurthy, John Langford and Dipendra Misra published a paper presenting a new reinforcement learning (RL) algorithm called HOMER that addresses three main problems in real-world RL problem: (i) exploration, (ii) decoding latent dynamics, and (iii) optimizing…
Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy
MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and…
In the news | VentureBeat
Microsoft researchers say NLP bias studies must consider role of social hierarchies like racism
As the recently released GPT-3 and several recent studies demonstrate, racial bias, as well as bias based on gender, occupation, and religion, can be found in popular NLP language models. But a team of AI researchers wants the NLP bias…
Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen
Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI. Today, he tells us how…