TreeDQN: Sample-efficient off-policy reinforcement learning for combinatorial optimization

Knowledge-Based Systems 2026 Open access

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Authors: Dmitry Sorokin, Alexander E. Kostin, L. Savchenko, G. Gusev, A.V. Savchenko
DOI: 10.1016/j.knosys.2026.116258
Cited by: 1
References: 49

Fields of Study & Subjects

Reinforcement Learning in Robotics Scheduling and Optimization Algorithms Auction Theory and Applications

Publication details

Journal / source
Knowledge-Based Systems
Publisher
Elsevier BV
Volume
348
Pages
116258–116258
Publication date
1 June 2026
Language
EN