Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 2

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Five students present their research programming project to the Microsoft Research Real World Reinforcement Learning team online.

0:00​ Empirical Analysis of Privacy Preserving Learning
Speaker: Manav Singhal

11:00 VW Parallel parsing improvements
Speaker: Nishant Kumar

23:40 VW feature transformation without redeploying the source
Speaker: Vishal Vinod

38:08 Safe Contextual Bandits
Speaker: Mónika Farsang

48:21 Safe Contextual Bandits
Speaker: Milena Mathew

Learn more about Microsoft Research's RL Open Source Fest: https://www.microsoft.com/en-us/research/academic-program/rl-open-source-fest/




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