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Sean Meyn

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Quasi-Stochastic Approximation: Algorithm Design Principles with Applications...
87 diapositivas78 vistas
DeepLearn2022 1. Goals & AlgorithmDesign.pdf
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DeepLearn2022 3. TD and Q Learning
127 diapositivas115 vistas
DeepLearn2022 2. Variance Matters
84 diapositivas96 vistas
Smart Grid Tutorial - January 2019
77 diapositivas324 vistas
State Space Collapse in Resource Allocation for Demand Dispatch - May 2019
87 diapositivas229 vistas
Irrational Agents and the Power Grid
68 diapositivas293 vistas
Zap Q-Learning - ISMP 2018
53 diapositivas425 vistas
Introducing Zap Q-Learning
86 diapositivas958 vistas
Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms
101 diapositivas698 vistas
State estimation and Mean-Field Control with application to demand dispatch
41 diapositivas1.5K vistas
Demand-Side Flexibility for Reliable Ancillary Services
93 diapositivas2.9K vistas
Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Serv...
71 diapositivas684 vistas
Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid: Elim...
91 diapositivas675 vistas
Why Do We Ignore Risk in Power Economics?
134 diapositivas728 vistas