Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face of sudden changes. However, "model-free reinforcement learning," which is widely used in robotics and exemplified by AlphaGo's famous match against Lee Sedol, struggles to achieve these two capabilities simultaneously.
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