WS-option jointly learns budget allocation and node selection for sequential stochastic combinatorial optimization, outperforming fixed-allocation baselines on adaptive influence maximization and route planning and generalizing to larger graphs.
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Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
WS-option jointly learns budget allocation and node selection for sequential stochastic combinatorial optimization, outperforming fixed-allocation baselines on adaptive influence maximization and route planning and generalizing to larger graphs.