Cheng, Yikun, Zhao, Pan, Wang, Fanxin, Block, Daniel J., and Hovakimyan, Naira. Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control. Retrieved from https://par.nsf.gov/biblio/10352474. IEEE Robotics and Automation Letters 7.3 Web. doi:10.1109/LRA.2022.3169309.

Cheng, Yikun, Zhao, Pan, Wang, Fanxin, Block, Daniel J., & Hovakimyan, Naira. Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control. IEEE Robotics and Automation Letters, 7 (3). Retrieved from https://par.nsf.gov/biblio/10352474. https://doi.org/10.1109/LRA.2022.3169309

Cheng, Yikun, Zhao, Pan, Wang, Fanxin, Block, Daniel J., and Hovakimyan, Naira. "Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control". IEEE Robotics and Automation Letters 7 (3). Country unknown/Code not available. https://doi.org/10.1109/LRA.2022.3169309. https://par.nsf.gov/biblio/10352474.

@article{osti_10352474,
place = {Country unknown/Code not available}, title = {Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control}, url = {https://par.nsf.gov/biblio/10352474}, DOI = {10.1109/LRA.2022.3169309}, abstractNote = {}, journal = {IEEE Robotics and Automation Letters}, volume = {7}, number = {3}, author = {Cheng, Yikun and Zhao, Pan and Wang, Fanxin and Block, Daniel J. and Hovakimyan, Naira}, }