Theoretical foundations for Offline Reinforcement Learning

MSR contributions in the space of theoretical foundation for Offline RL

研究组

成立:

We aim at understanding the principles underpinning learning and generalization, to build reliable AI systems that can learn more efficiently from available data, intelligently gather additional relevant data, and quickly adapt to and reason about unusual scenarios when deployed in…