Introduction to Towards A Theory For Sample Efficient Reinforcement Learning With Rich Observations
Exploring Towards A Theory For Sample Efficient Reinforcement Learning With Rich Observations reveals several interesting facts. How can we tractably solve sequential decision making problems where the
Towards A Theory For Sample Efficient Reinforcement Learning With Rich Observations Comprehensive Overview
Alekh Agarwal, Microsoft Research New York https://simons.berkeley.edu/talks/alekh-agarwal-02-15-2017 Interactive Sample Efficient Reinforcement Learning Workshop on New Directions in
Секция ML keynotes, general – Main stage, 11 мая 2019 Презентации с Data Fest 6 ...
Summary & Highlights for Towards A Theory For Sample Efficient Reinforcement Learning With Rich Observations
- Thesis defense of Andrea Zanette. Slides available at https://web.stanford.edu/group/sisl/public/defense_zanette.pdf.
- Workshop on New Directions in
- Devavrat Shah (MIT) https://simons.berkeley.edu/talks/tbd-252
- Sample Efficient
- https://arxiv.org/abs/2006.12484 Chi Jin, Sham M. Kakade, Akshay Krishnamurthy, Qinghua Liu.
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