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Found 3 papers, 1 papers with code
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
In the setting of finite episodic Markov decision processes with $S$ states, $A$ actions, and episode length $H$, we present an optimistic Q-learning algorithm that achieves $\tilde{\mathcal{O}}(\text{Poly}(H)\sqrt{T})$ regret under perfect knowledge of $f$, where $T$ is the total number of interactions with the system.
A Two-Stage Mechanism for Demand Response Markets
Moreover, optimal power consumption reductions of the customers depend on the costs that they incur for curtailing consumption, which in general are private knowledge of the customers, and which they could strategically misreport in an effort to improve their own utilities even if it deteriorates the overall system cost.
QuickFlex: a Fast Algorithm for Flexible Region Construction for the TSO-DSO Coordination
For unlocking such capabilities, it is essential to understand the aggregated flexibility that can be harvested from the large population of new technologies located in distribution grids.
