Huang, Peide, Xu, Mengdi, Fang, Fei, and Zhao, Ding. Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. Retrieved from https://par.nsf.gov/biblio/10417634. the 31st International Joint Conference on Artificial Intelligence (IJCAI) . Web. doi:10.24963/ijcai.2022/430.

Huang, Peide, Xu, Mengdi, Fang, Fei, & Zhao, Ding. Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. the 31st International Joint Conference on Artificial Intelligence (IJCAI), (). Retrieved from https://par.nsf.gov/biblio/10417634. https://doi.org/10.24963/ijcai.2022/430

Huang, Peide, Xu, Mengdi, Fang, Fei, and Zhao, Ding. "Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training". the 31st International Joint Conference on Artificial Intelligence (IJCAI) (). Country unknown/Code not available: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22). https://doi.org/10.24963/ijcai.2022/430. https://par.nsf.gov/biblio/10417634.

@article{osti_10417634,
place = {Country unknown/Code not available}, title = {Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training}, url = {https://par.nsf.gov/biblio/10417634}, DOI = {10.24963/ijcai.2022/430}, abstractNote = {}, journal = {the 31st International Joint Conference on Artificial Intelligence (IJCAI)}, publisher = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)}, author = {Huang, Peide and Xu, Mengdi and Fang, Fei and Zhao, Ding}, }