A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
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Current beam orientation optimization algorithms for radiotherapy, such as column generation (CG), are typically heuristic or greedy in nature because of the size of the combinatorial problem, which leads to suboptimal solutions. We propose a reinforcement lea... ...
