Exploring Sample Efficient Reinforcement Learning With Rich Observations
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- https://arxiv.org/abs/2006.12484 Chi Jin, Sham M. Kakade, Akshay Krishnamurthy, Qinghua Liu.
- ICAPS 2014 journal track presentation on the paper: Todd Hester and Peter Stone. TEXPLORE: Real-Time
- Workshop on New Directions in
- Trying the door opening task we tried out lination we saw the
- Episode 117 | June 3, 2020 MSR's New York City lab is home to some of the best
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Alekh Agarwal, Microsoft Research New York https://simons.berkeley.edu/talks/alekh-agarwal-02-15-2017 Interactive How can we tractably solve sequential decision making problems where the Sample Efficient Reinforcement Learning Devavrat Shah (MIT) https://simons.berkeley.edu/talks/tbd-252
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