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Cong Zhang (张聪)
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Year
Learning to dispatch for job shop scheduling via deep reinforcement learning
C Zhang, W Song, Z Cao, J Zhang, PS Tan, X Chi
Advances in Neural Information Processing Systems (NeurIPS) 33, 1621-1632, 2020
2752020
A review on learning to solve combinatorial optimisation problems in manufacturing
C Zhang, Y Wu, Y Ma, W Song, Z Le, Z Cao, J Zhang
IET Collaborative Intelligent Manufacturing 5 (1), e12072, 2023
172023
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
R Zhang*, C Zhang*, Z Cao, W Song, PS Tan, J Zhang, B Wen, J Dauwels
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
162022
Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem
C Su, C Zhang, D Xia, B Han, C Wang, G Chen, L Xie
Applied Soft Computing (ASC) 145, 110596, 2023
72023
Sampling efficient deep reinforcement learning through preference-guided stochastic exploration
W Huang, C Zhang, J Wu, X He, J Zhang, C Lv
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
42023
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
C Zhang, Z Cao, W Song, Y Wu, J Zhang
The Twelfth International Conference on Learning Representations (ICLR), 2024
1*2024
Decision-making with Speculative Opponent Models
J Sun, S Chen, C Zhang, Y Ma, J Zhang
The IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
2024
Aligning Crowd Feedback via Distributional Preference Reward Modeling
D Li*, C Zhang*, K Dong, D Derrick, Goh, Xin, R Tang, Y Liu
arXiv, https://arxiv.org/abs/2402.09764, 2024
2024
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
C Zhang, Z Cao, Y Wu, W Song, J Sun
The Conference on Uncertainty in Artificial Intelligence (UAI), 2024
2024
Intelligent job shop scheduling via deep reinforcement learning over graphs
C Zhang
PhD Thesis, 2023
2023
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Articles 1–10