Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation

Research article (Photonics Research, 2020) · cited 13× · AI/ML
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Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation

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Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation is a scholarly article[1].

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  • Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/monte-carlo-simulation-fused-with-target-distribution-modeling-via-deep-reinforcement-learning-for-automatic-high-effici
MLA “Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/monte-carlo-simulation-fused-with-target-distribution-modeling-via-deep-reinforcement-learning-for-automatic-high-effici.
BibTeX @misc{4ortxyz_monte-carlo-simulation-fused-with-target-distribution-modeling-via-deep-reinforcement-learning-for-automatic-high-effici_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation}}, year = {2026}, url = {https://4ort.xyz/entity/monte-carlo-simulation-fused-with-target-distribution-modeling-via-deep-reinforcement-learning-for-automatic-high-effici}, note = {Accessed: 2026-05-24}}
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