Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 1

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Published on ● Video Link: https://www.youtube.com/watch?v=EC_bViQjMy8


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

0:00​ Welcome

0:30 Extend FairLearn to include RL bias analysis using VW
Speaker: Wilson Cheung

12:17 AutoML for Online Contextual Bandits
Speaker: Varun Suryan

25:01 Tensorboard and Tensorwatch Integration
Speaker: Muhammad Ammar Abid

39:14 Integrate Estimator Library into Azure Machine Learning (AML) Pipeline
Speaker: Krystal Maughan

49:14 Integrate Estimator Library into Azure Machine Learning (AML) Pipeline
Speaker: Jui Pradhan

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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