Han, Songyang, Zhou, Shanglin, Wang, Jiangwei, Pepin, Lynn, Ding, Caiwen, Fu, Jie, and Miao, Fei. A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. Retrieved from https://par.nsf.gov/biblio/10495088. IEEE Transactions on Intelligent Transportation Systems . Web. doi:10.1109/TITS.2023.3336670.

Han, Songyang, Zhou, Shanglin, Wang, Jiangwei, Pepin, Lynn, Ding, Caiwen, Fu, Jie, & Miao, Fei. A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, (). Retrieved from https://par.nsf.gov/biblio/10495088. https://doi.org/10.1109/TITS.2023.3336670

Han, Songyang, Zhou, Shanglin, Wang, Jiangwei, Pepin, Lynn, Ding, Caiwen, Fu, Jie, and Miao, Fei. "A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles". IEEE Transactions on Intelligent Transportation Systems (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TITS.2023.3336670. https://par.nsf.gov/biblio/10495088.

@article{osti_10495088,
place = {Country unknown/Code not available}, title = {A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles}, url = {https://par.nsf.gov/biblio/10495088}, DOI = {10.1109/TITS.2023.3336670}, abstractNote = {}, journal = {IEEE Transactions on Intelligent Transportation Systems}, publisher = {IEEE}, author = {Han, Songyang and Zhou, Shanglin and Wang, Jiangwei and Pepin, Lynn and Ding, Caiwen and Fu, Jie and Miao, Fei}, }