Exploring Beyond Worst Case Instance Dependent Optimality In Reinforcement Learning
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- IMS Brown Award: "Toward
- Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-1 Algorithms and ...
- Kevin Jamieson University of Washington.
- Presentation given by Andrea Agazzi on 02/10/2021 in the one world seminar on the mathematics of machine
- 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 ... algorithm that achieves uh this Minimax result this
Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-2 Algorithms and ...
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