Brain-controlled operator model-driven deep reinforcement learning for adaptive brain-machine collaborative control

doi:10.1016/j.eswa.2025.130770

Brain-controlled operator model-driven deep reinforcement learning for adaptive brain-machine collaborative control

2025-12-22

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DOI：10.1016/j.eswa.2025.130770

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• Proposes a deep reinforcement learning-based adaptive brain-machine collaborative control method. • Develops a brain-controlled operator model to embed human decision experience into learning. • Designs a dual actor-critic mechanism for adaptive human-machine coordination. • Enhances adaptability and robustness in uncertain and low EEG accuracy conditions. • Experiments show superior performance, stability, and autonomy over baseline methods.

Brain-controlled operator model-driven deep reinforcement learning for adaptive brain-machine collaborative control

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