most citedAn Improved Reinforcement Learning Algorithm for Learning to Branch

11 citations · 17 across the 4 of their papers we have counts for

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cs.LG2022★ 1 cited

Offline Reinforcement Learning with Adaptive Behavior Regularization

Yunfan Zhou, Xijun Li, Qingyu Qu

Offline reinforcement learning (RL) defines a sample-efficient learning paradigm, where a policy is learned from static and previously collected datasets without additional interac…

cs.LG2022★ 11 cited

An Improved Reinforcement Learning Algorithm for Learning to Branch

Qingyu Qu, Xijun Li, Yunfan Zhou +6

Most combinatorial optimization problems can be formulated as mixed integer linear programming (MILP), in which branch-and-bound (B\&B) is a general and widely used method. Recentl…