Li, Hepeng, Zhong, Xiangnan, and He, Haibo. An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. Retrieved from https://par.nsf.gov/biblio/10441192. 2023 International Joint Conference on Neural Networks (IJCNN) . Web. doi:10.1109/IJCNN54540.2023.10191837.

Li, Hepeng, Zhong, Xiangnan, & He, Haibo. An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. 2023 International Joint Conference on Neural Networks (IJCNN), (). Retrieved from https://par.nsf.gov/biblio/10441192. https://doi.org/10.1109/IJCNN54540.2023.10191837

Li, Hepeng, Zhong, Xiangnan, and He, Haibo. "An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning". 2023 International Joint Conference on Neural Networks (IJCNN) (). Country unknown/Code not available: 2023 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN54540.2023.10191837. https://par.nsf.gov/biblio/10441192.

@article{osti_10441192,
place = {Country unknown/Code not available}, title = {An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning}, url = {https://par.nsf.gov/biblio/10441192}, DOI = {10.1109/IJCNN54540.2023.10191837}, abstractNote = {}, journal = {2023 International Joint Conference on Neural Networks (IJCNN)}, publisher = {2023 International Joint Conference on Neural Networks (IJCNN)}, author = {Li, Hepeng and Zhong, Xiangnan and He, Haibo}, }