Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives
H He, X Meng, Y Wang, A Khajepour, X An… - … and Sustainable Energy …, 2024 - Elsevier
Electrified vehicles provide an effective solution to address the unfavorable impacts of fossil
fuel use in the transportation sector. Energy management strategy (EMS) is the core …
fuel use in the transportation sector. Energy management strategy (EMS) is the core …
VA-learning as a more efficient alternative to Q-learning
In reinforcement learning, the advantage function is critical for policy improvement, but is
often extracted from a learned Q-function. A natural question is: Why not learn the advantage …
often extracted from a learned Q-function. A natural question is: Why not learn the advantage …
Robust Action Gap Increasing with Clipped Advantage Learning
Advantage Learning (AL) seeks to increase the action gap between the optimal action and
its competitors, so as to improve the robustness to estimation errors. However, the method …
its competitors, so as to improve the robustness to estimation errors. However, the method …