Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 1
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/
Видео Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 1 канала Microsoft Research
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/
Видео Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 1 канала Microsoft Research
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