Experience Replay

The discussion concludes that replay design strongly affects both learning efficiency and circuit quality. Replay comparisons held agent, state, action, reward, and training protocols fixed so differences could be attributed to replay design. PER prioritizes transitions by absolute TD error with alpha prioritization. ReaPER discounts transitions with unreliable downstream TD targets using a reliability score. The work treats replay-buffer design as a primary algorithmic object rather than an implementation detail. Experience storage, sampling, and transfer are presented as decisive levers for scalable quantum circuit optimization.