Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling

Author:

Allahverdyan AlexanderORCID,Zhadan AnastasiiaORCID,Kondratov IvanORCID,Mikheev VikentyORCID,Petrosian OvanesORCID,Romanovskii AlekseiORCID,Kharin VitaliyORCID

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Chen, S., Fang, S., Tang, R.: A reinforcement learning based approach for multi-projects scheduling in cloud manufacturing. Int. J. Prod. Res. 57(10), 3080–3098 (2019)

2. Clausen, J.: Branch and Bound Algorithms-principles And Examples, pp. 1–30. Department of Computer Science, University of Copenhagen pp (1999)

3. Flint, C., Bramas, B.: Finding new heuristics for automated task prioritizing in heterogeneous computing. HAL-Inria preprint, pp. 1–43 (Nov 2020). https://hal.inria.fr/hal-02993015, working paper or preprint

4. Gurobi Optimization, LLC: Gurobi Optimizer Reference Manual (2023). https://www.gurobi.com

5. Hwang, J.J., Chow, Y.C., Anger, F.D., Lee, C.Y.: Scheduling precedence graphs in systems with interprocessor communication times. Siam J. Comput. 18(2), 244–257 (1989)

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