The Reinforcement Learning and Robustness Lab (RLsquared) conducts research on models and algorithms for reinforcement learning and data-driven decision making.
We want to deliver real-world impacts through reinforcement learning by designing methods that practitioners can use out-of-the-box.
We are current working on these topics:
Our current applications are: