Zhang, Dai and Zhang, Xue (2025) Deep Reinforcement Learning for Multi-Sequence Combinatorial Optimization Problems. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.
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Abstract
We propose a formulation for solving sequential combinatorial optimization problems (COP) by deep reinforcement learning (DRL) method. Some types of decision problems can be reduced to sequence combination optimization problems(SCOP) , such as knapsack problems, flow-shop problems, etc. Besides some
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:27 |
| Last Modified: | 16 Apr 2026 21:38 |
| URI: | http://eprints.eai.eu/id/eprint/52547 |
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