Adaptive non-local observables, jointly trained with variational circuit parameters, improve DQN and A3C reinforcement learning agents on simulated benchmark tasks relative to fixed Pauli-measurement baselines.
Supervised learning with quantum- enhanced feature spaces,
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Quantum Reinforcement Learning by Adaptive Non-local Observables
Adaptive non-local observables, jointly trained with variational circuit parameters, improve DQN and A3C reinforcement learning agents on simulated benchmark tasks relative to fixed Pauli-measurement baselines.