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Found 2 papers, 1 papers with code
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems
(II) introducing self-improving hard constraints, to increase the accuracy of the constraint functions as more and new data becomes available so that better policies can be learnt.
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
This method learns the decision strategy of the EMS based on historical data contrary to RBC and MPC approaches that are typically considered as non adaptive solutions.
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