Sean Meyn
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Emma Brunskillonce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Zap Stochastic Approximation and Implications to Q-Learning | Reinforcement Learning from Batch Data and Simulation | 2020-11-30 |
Introduces Zap stochastic approximation as a two-time-scale root-finding scheme that uses an online matrix gain (approximate inverse Jacobian) to force… | ||
| Panel Discussion | Reinforcement Learning from Batch Data and Simulation | 2020-11-30 |
Panelists argue that in the next five years batch/offline RL will move from demos to real-world proposals for policy design (e.g. tax or macro suggestions) and… | ||
| Irrational Agents and the Power Grid | Societal Networks 2018 | 2018-03-26 |
Claim: real-time marginal prices fail as a coordination mechanism because power is not the commodity consumers value — temperature and thermal inertia are, so… | ||
| The Flow of Information | Real-Time Decision Making Boot Camp, Spring 2018 | 2018-01-22 |
Claims the power grid is a distributed control system with a global 60 Hz signal and simple AGC running ~every 4 seconds using integral (PI) loops; day-ahead… | ||
| Distributed Control for Demand Dispatch | Real-Time Decision Making | 2016-07-01 |
Explains a concrete control recipe for “demand dispatch”: design randomized control laws and a local pre-filtering stage so millions of on/off loads… | ||
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