research
∙
09/16/2023
Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes
Demand response (DR) plays a critical role in ensuring efficient electri...
share
research
∙
01/30/2023
A Novel Framework for Policy Mirror Descent with General Parametrization and Linear Convergence
Modern policy optimization methods in applied reinforcement learning, su...
research
∙
10/24/2022
Optimal activity and battery scheduling algorithm using load and solar generation forecasts
Energy usage optimal scheduling has attracted great attention in the pow...
research
∙
10/04/2022
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
We consider infinite-horizon discounted Markov decision processes and st...
research
∙
07/23/2021
A general sample complexity analysis of vanilla policy gradient
The policy gradient (PG) is one of the most popular methods for solving ...
research
∙
06/19/2021
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
We present a principled approach for designing stochastic Newton methods...
research
∙
06/22/2020
