Feng, Songtao, Yin, Ming, Huang, Ruiquan, Wang, Yu-Xiang, Yang, Jing, and Liang, Yingbin. Toward General Function Approximation in Nonstationary Reinforcement Learning. Retrieved from https://par.nsf.gov/biblio/10536917. IEEE Journal on Selected Areas in Information Theory 5. Web. doi:10.1109/JSAIT.2024.3381818.

Feng, Songtao, Yin, Ming, Huang, Ruiquan, Wang, Yu-Xiang, Yang, Jing, & Liang, Yingbin. Toward General Function Approximation in Nonstationary Reinforcement Learning. IEEE Journal on Selected Areas in Information Theory, 5 (). Retrieved from https://par.nsf.gov/biblio/10536917. https://doi.org/10.1109/JSAIT.2024.3381818

Feng, Songtao, Yin, Ming, Huang, Ruiquan, Wang, Yu-Xiang, Yang, Jing, and Liang, Yingbin. "Toward General Function Approximation in Nonstationary Reinforcement Learning". IEEE Journal on Selected Areas in Information Theory 5 (). Country unknown/Code not available: IEEE Journal on Selected Areas in Information Theory. https://doi.org/10.1109/JSAIT.2024.3381818. https://par.nsf.gov/biblio/10536917.

@article{osti_10536917,
place = {Country unknown/Code not available}, title = {Toward General Function Approximation in Nonstationary Reinforcement Learning}, url = {https://par.nsf.gov/biblio/10536917}, DOI = {10.1109/JSAIT.2024.3381818}, abstractNote = {}, journal = {IEEE Journal on Selected Areas in Information Theory}, volume = {5}, publisher = {IEEE Journal on Selected Areas in Information Theory}, author = {Feng, Songtao and Yin, Ming and Huang, Ruiquan and Wang, Yu-Xiang and Yang, Jing and Liang, Yingbin}, }