Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 2
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27.10.22 – 65746:03Опубликовано 25 февраля 2022, 17:30
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: microsoft.com/en-us/research/a...
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: microsoft.com/en-us/research/a...
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