Optimization
Solving Minimum-Cost Reach Avoid using Reinforcement Learning
Neural Information Processing Systems
These authors contributed equally to this work 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
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POMO: PolicyOptimizationwithMultipleOptima forReinforcementLearning
Neural Information Processing Systems
We introduce Policy Optimization with Multiple Optima (POMO), anend-to-end approach forbuildingsuchaheuristic solver.POMO isapplicable to a wide range of CO problems.
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