Reinforcement Learning Redmond

Reinforcement Learning Redmond

Projects

Opportunities

Overview

The Reinforcement Learning group in Redmond is passionate about both RL theory and applications. The group focuses on foundational advances in Model-based Learning, Memory, Effective Exploration, and Counterfactual Learning. Our application domains include Interactive Fiction (Text-based) games, Xbox and Microsoft Studios games, and indoor agriculture.

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

Representative publications:

People

Core Group Members

Affiliates

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.