The Reinforcement Learning group works on a broad range of problems related to learning in interactive settings using reinforcement feedback. The real promise of reinforcement learning is systems that directly learn to interact with the real world from interactions with the real world. We are creating the theory, algorithms, and systems necessary to create the future here across a broad spectrum of applications including dialogue systems, game playing, content placement, program synthesis, recommendations, web search, natural language processing, and systems optimization.
We’re hiring! We have many job opportunities across the Microsoft Research locales:
Please explore the tabs above to find more about the group, our projects and recent publications!