Publications

Learn to Tour: Operator Design For Feasible Solution Mapping

Published in , 2023

We design learning operators that always map one feasible solution to another, without wasting time exploring the infeasible solution space. Such operators are evaluated and selected as policies to solve PDTSPs in an RL framework.

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