Understanding Statistical Efficiency In Offline Reinforcement Learning
Let's dive into the details surrounding Statistical Efficiency In Offline Reinforcement Learning. Nathan Kallus (Cornell) https://simons.berkeley.edu/talks/tbd-249
Key Takeaways about Statistical Efficiency In Offline Reinforcement Learning
- This talk presents the work of the paper "
- Sham Kakade (Harvard and MSR) https://simons.berkeley.edu/talks/what-
- Abstract: One of the most natural approaches to
- Xian Carrie Wu (Simons Institute) Meet the Fellows Welcome Event.
- ... branch of reinforcement learning that is rising uh kind of recently that is called
Detailed Analysis of Statistical Efficiency In Offline Reinforcement Learning
Sham Kakade (University of Washington & Microsoft Research) ... Sergey Levine's talk on Authors: Kajetan Schweighofer, Andreas Radler, Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Angela ...
Moderator: Pablo Castro (Google) https://simons.berkeley.edu/talks/tbd-230 Deep
That wraps up our extensive overview of Statistical Efficiency In Offline Reinforcement Learning.
