1. Prates Marcelo OR, Avelar Pedro HC, Lemos Henrique, Lamb Luis, Vardi Moshe. Learning to solve np-complete problems: A graph neural network for decision tsp. In: Proceedings of the AAAI conference on artificial intelligence. 2019, p. 4731–8.
2. A comprehensive review of evolutionary algorithms for multiprocessor DAG scheduling;Eduardo;Computation,2020
3. Zhao Henan, Sakellariou Rizos. Scheduling multiple DAGs onto heterogeneous systems. In: Proceedings of the 20th International conference on parallel and distributed processing (IPDPS’06). 2006, p. 159–64.
4. Reinforcement learning: An introduction;Sutton,2018
5. Wang Yuhui, He Hao, Wen Chao, Tan Xiaoyang. Truly proximal policy optimization. In: Conference on uncertainty in artificial intelligence. 2020, p. 113–22.