Reinforcement learning (PPO) is shown to inverse-design a random 2D scattering billiard to achieve three target transmission matrix properties: rank-1 behavior, a degenerate eigenvalue exceptional point, and degenerate transmission eigenvalues.
Silver et al., Mastering the game of Go without human knowledge, Nature 550, 354 (2017)
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Inverse design of the transmission matrix in a random system using Reinforcement Learning
Reinforcement learning (PPO) is shown to inverse-design a random 2D scattering billiard to achieve three target transmission matrix properties: rank-1 behavior, a degenerate eigenvalue exceptional point, and degenerate transmission eigenvalues.