Exploring Beyond Worst Case Instance Dependent Optimality In Reinforcement Learning
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- Stable clustering, part 1. The k-median problem and the BBG algorithm. Full course playlist: ...
- Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-1 Algorithms and ...
- Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-2 Algorithms and ...
- Kevin Leyton-Brown, University of British Columbia https://simons.berkeley.edu/talks/kevin-leyton-brown-2016-11-16
- Avrim Blum, Carnegie Mellon University https://simons.berkeley.edu/talks/avrim-blum-2016-11-14
In-Depth Information on Beyond Worst Case Instance Dependent Optimality In Reinforcement Learning
Martin Wainwright (UC Berkeley) https://simons.berkeley.edu/talks/tbd-236 Emmanouil-Vasileios Vlatakis-Gkaragkounis (Simons Institute/FODSI) ... From unknown input distributions to restricted Kevin Jamieson University of Washington.
... algorithm that achieves uh this Minimax result this
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