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On the convergence of projective-simulation-based reinforcement learning in Markov decision processes.

, , , , and . Quantum Mach. Intell., 2 (2): 1-21 (2020)

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Operationally meaningful representations of physical systems in neural networks., , , , , , , and . CoRR, (2020)Compilation of product-formula Hamiltonian simulation via reinforcement learning., , , and . CoRR, (2023)A framework for deep energy-based reinforcement learning with quantum speed-up., , , , and . CoRR, (2019)On the convergence of projective-simulation-based reinforcement learning in Markov decision processes., , , , and . CoRR, (2019)Operationally meaningful representations of physical systems in neural networks., , , , , , , and . Mach. Learn. Sci. Technol., 3 (4): 45025 (December 2022)Photonic architecture for reinforcement learning., , , , , and . CoRR, (2019)On the convergence of projective-simulation-based reinforcement learning in Markov decision processes., , , , and . Quantum Mach. Intell., 2 (2): 1-21 (2020)Automated gadget discovery in the quantum domain., , , , and . Mach. Learn. Sci. Technol., 4 (3): 35043 (September 2023)Automated Gadget Discovery in Science., , , , and . CoRR, (2022)Reinforcement learning for optimization of variational quantum circuit architectures., , , , and . NeurIPS, page 18182-18194. (2021)