Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 1
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14.12.22 – 5181:36:23Опубликовано 25 февраля 2022, 17:30
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: microsoft.com/en-us/research/a...
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: microsoft.com/en-us/research/a...
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