3 citations · 3 across the 1 of their papers we have counts for
4 papers · 1 filter
State Space Collapse in Resource Allocation for Demand Dispatch
Joel Mathias, Robert Moye, Sean Meyn +1
Demand dispatch is the science of extracting virtual energy storage through the automatic control of deferrable loads to provide balancing or regulation services to the grid, while…
Learning continuous Q-Functions using generalized Benders cuts
Joseph Warrington
Q-functions are widely used in discrete-time learning and control to model future costs arising from a given control policy, when the initial state and input are given. Although so…
Two-Stage Dual Dynamic Programming with Application to Nonlinear Hydro Scheduling
Benjamin Flamm, Annika Eichler, Joseph Warrington +1
We present an approximate method for solving nonlinear control problems over long time horizons, in which the full nonlinear model is preserved over an initial part of the horizon,…
Accelerated Point-wise Maximum Approach to Approximate Dynamic Programming
Paul N. Beuchat, Joseph Warrington, John Lygeros
We describe an approximate dynamic programming approach to compute lower bounds on the optimal value function for a discrete time, continuous space, infinite horizon setting. The a…