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Session MD-3: (Deep) Reinforcement Learning for Combinatorial Optimization 2 in stream Data Science Meets Optimization
Monday, 14:30-16:00Room: 1005 (building: 202)
Session chair(s): |
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2436. PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization |
André Hottung
[R] - Germany | accepted | ||
Kevin Tierney
[R] - Germany | ||||
2251. A regression model for selecting effective cuts in a Branch-and-Cut algorithm |
Marcello Sammarra
[R] - Italy | accepted | ||
Giovanni Giallombardo
[R] - Italy | ||||
Giovanna Miglionico
[R] - Italy | ||||
242. Learning to Branch in Combinatorial Optimization with Graph Pointer Networks |
Bo Jiang
[R] - China | accepted | ||
Rui Wang
[R] - China | ||||
Gang Zhou
[] - China | ||||
931. Learning to solve combinatorial optimization problems with a decision tree |
Kevin Tierney
[R] - Germany | accepted | ||