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Adaptive primal–dual Q-learning for electric vehicle route optimization on real-world charging networks - Nature
Adaptive primal–dual Q-learning for electric vehicle route optimization on real-world charging networks Nature
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paperRobustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Gridsrepojaimasih05-commits/swarm-foraging-qlearnpaperMulti-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farmsrepoxxzcc/Awesome-Credit-Assignment-in-LLM-RLrepoabigail.qnt.tran/LRAP-APM
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repojaimasih05-commits/swarm-foraging-qlearnpaperImproving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation DisentanglementpaperRobustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Gridsrepoabigail.qnt.tran/LRAP-APMpaperMulti-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy FarmspaperTrajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport SystemspaperClimate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobilitypaperOffline Deep Q* Estimation with Diffusion Modelsrepoxxzcc/Awesome-Credit-Assignment-in-LLM-RLpaperMulti-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage