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Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
Many machine learning tasks can be solved by minimizing a convex function of an occupancy measure over the policies that generate them.
Reimagining Demand-Side Management with Mean Field Learning
Integrating renewable energy into the power grid while balancing supply and demand is a complex issue, given its intermittent nature.
A privacy-preserving distributed computational approach for distributed locational marginal prices
An important issue in today's electricity markets is the management of flexibilities offered by new practices, such as smart home appliances or electric vehicles.
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