Reinforcement Learning Redmond
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Reinforcement Learning Redmond



The Reinforcement Learning Group in MSR-AI is passionate about advancing both RL-theory and applications. We focus on foundational advances in Generalization, Memory, Exploration, and Counterfactual Learning. Our application domains include Interactive Fiction games, Xbox games, and Web crawling.

We collaborate closely with the wider reinforcement learning effort at MSR including groups in Cambridge, Montreal, and New York.

A recent overview of our research: BreakthroughsRL2019.pptx

Representative publications:


Core Group Members


Open Source

Jericho – A fast learning environment for Agents to play Interactive Fiction games.
NAIL – A general Interactive Fiction game playing agent. Winner of the 2018 CIG Text Adventure AI Competition.
Frigatebird – Enabling unmanned aerial vehicles to travel long distances by soaring.