Search Results for author: Joel Mathias

Found 2 papers, 0 papers with code

Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations

no code implementations5 May 2024 Joel Mathias, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar

Distributed energy resources (DERs) such as grid-responsive loads and batteries can be harnessed to provide ramping and regulation services across the grid.

Model Predictive Control

Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time

no code implementations14 Oct 2022 Fan Lu, Joel Mathias, Sean Meyn, Karanjit Kalsi

Convex Q-learning is a recent approach to reinforcement learning, motivated by the possibility of a firmer theory for convergence, and the possibility of making use of greater a priori knowledge regarding policy or value function structure.

Q-Learning

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