Offline Reinforcement Learning Algorithms

In this page, we describe the algorithmic landscape of Offline RL and enumerate some algorithmic development efforts made by MSR in this space

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…