51 citations · 156 across the 15 of their papers we have counts for
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cs.LG2025
ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories
Dou Jiabao, Nie Jiayi, Yihang Cheng +5
The Branch-and-bound (B&B) algorithm is the main solver for Mixed Integer Linear Programs (MILPs), where the selection of branching variable is essential to computational efficienc…
cs.LG2021★ 2 cited
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network
Tianqi Shen, Hong Zhang, Ding Yuan +2
Vital importance has necessity to be attached to cooperation in multi-agent environments, as a result of which some reinforcement learning algorithms combined with graph neural net…