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cs.LG2025
Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State Partitioning
Senne Deproost, Dennis Steckelmacher, Ann Nowé
Deep Reinforcement Learning is one of the state-of-the-art methods for producing near-optimal system controllers. However, deep RL algorithms train a deep neural network, that lack…
cs.LG2025
Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
Alexandra Cimpean, Nicole Orzan, Catholijn Jonker +2
Equity in real-world sequential decision problems can be enforced using fairness-aware methods. Therefore, we require algorithms that can make suitable and transparent trade-offs b…