Real World Reinforcement Learning
Établi : May 3, 2019
Nouvelles et reportages
Automatic post-deployment management of cloud applications
| Nagarajan Natarajan, Lei Zhao, Rodrigo Fonseca, Tatiana Racheva, et Yogesh Bansal
In the first two blog posts in this series, we presented our vision for Cloud Intelligence/AIOps (AIOps) research, and scenarios where innovations in AI technologies can help build and operate complex cloud platforms and services effectively and efficiently at scale.…
Research Focus: Week of February 20, 2023
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Many real-world applications require sequential decision making, where an agent interacts with…
NeurIPS 2020: Moving toward real-world reinforcement learning via batch RL, strategic exploration, and representation learning
As human beings, we encounter unfamiliar situations all the time—learning to drive, living on our own for the first time, starting a new job. And while we can anticipate what to expect based on what others have told us or…
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…
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…
Dans l’actualité | Bloomberg
Micro Focus Vertica, Timescale, Microsoft, and MinIO named winners of 2019 Strata Data Awards in New York
STRATA DATA CONFERENCE – O’Reilly, the premier source for insight-driven learning on technology and business, today announced the winners of the 2019 Strata Data Awards, recognizing the most innovative data-driven startups, projects, and initiatives from sponsors and exhibitors…
The selection committee selected the Decision Service created by the Real World Reinforcement Learning team as the winner of the inaugural 2019 ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI). The committee was impressed with the identification and…
Prix | ACM SIGAI
Winner of 2019 ACM SIGAI Industry Award
The selection committee for the ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) is pleased to announce that the Decision Service created by the Real World Reinforcement Learning Team from Microsoft, has been chosen as the winner of…
Provably efficient reinforcement learning with rich observations
| Akshay Krishnamurthy
Reinforcement learning, a machine learning paradigm for sequential decision making, has stormed into the limelight, receiving tremendous attention from both researchers and practitioners. When combined with deep learning, reinforcement learning (RL) has produced impressive empirical results, but the successes to…