[8] [8] HAARNOJA T, ZHOU A, ABBEEL P, et al. Soft actcritic: offpolicy maximum entropy deep reinfcement learning with a stochastic act[C]Proceedings of the 35th International Conference on Machine Learning. Stockholm, Sweden: ACM Press, 2018.

[9] [9] SUTTON R S, BARTO A G. Reinfcement Learning: An Introduction[M]. Cambridge: MIT Press, 1998.

[10] [10] SPIELBERG S, GOPALUNI R, LOEWEN P. Deep reinfcement learning approaches f process control[C]2017 6th International Symposium on Advanced Control of Industrial Processes, [S. 1. ]: IEEE, 2017: 201–203.

[11] [11] HAARNOJA T, ZHOU A, HARTIKAINEN K, et al. Soft actcritic algithms applications [EBOL]. ArXiv: 1812.05905, 2018(20181213)[20200830]. https:arxiv.gabs1812.05905.

[12] MNIH V, KAVUKCUOGLU K, SILVER D et al. Human-level control through deep reinforcement learning[J]. Nature, 518, 529-533(2015).

[13] [13] SCHULMAN J, CHEN X, ABBEEL P. Equivalence between policy gradients soft Qlearning[EBOL]. ArXiv: 1704.06440, 2017. (2017421)[20200830]. https:arxiv.gpdf1704.06440.pdf.

[14] [14] HAARNOJA T, TANG H, ABBEEL P, et al, Reinfcement learning with deep energybased policies[C]Proceedings of the 34th International Conference on Machine Learning. Sydney, Australia: ACM Press: MLR. g, 2017: 1352–1361.

[15] [15] LILLICRAP T P, HUNT J J, PRITZEL A, et al. Continuous control with deep reinfcement learning[C]Proceedings of the 4th International Conference on Learning Representations. San Juan, Puerto Rico: Elsevier, 2016.