Author

Sarvesh Kumar

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Open access Jul 2026

Adaptive primal–dual Q-learning for electric vehicle route optimization on real-world charging networks

A novel Dual Q–Adaptive Weighting model that balances reward and cost through a primal–dual learning mechanism is proposed and achieves the highest route accuracy of 78.66%, outperforming Double Q-Learning, Q-Learning, and traditional A* and Dijkstra algorithms.

Sarvesh Kumar, Rayappa David Amar Raj, Archana Pallakonda et al. · Scientific Reports · 0 citations