A Survey of Quantum Reinforcement Learning Approaches: Current Status and Future Research Directions
Abstract: This work presents a detailed survey of Quantum Reinforcement Learning (QRL), describing its fundamental principles and applications. By illustrating several research works, we provide the ...
Abstract: Robust navigation in complex and dynamic environments poses a significant challenge for reinforcement learning (RL) algorithms. Traditional RL methods often rely on single-modality inputs, ...
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