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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: