![[논문요약] DeepReach: A Deep Learning Approach to High-Dimensional Reachability](https://mblogthumb-phinf.pstatic.net/MjAyMjA5MjlfNDUg/MDAxNjY0NDI0MzkzMjcz.C-J0nxRHrjpGeVSrIFP2TKwAQ7tps1kgjX8SS9IBt3Eg.PLR_hHF4tru2Nw6Vz9337g5MdklDLr_znQbM2EOcjHYg.JPEG.ehddbs1213/aaron-burden-CKlHKtCJZKk-unsplash.jpeg?type=w2 "[논문요약] DeepReach: A Deep Learning Approach to High-Dimensional Reachability")
PAPER SUMMARY DeepReach: A Deep Learning Approach to High-Dimensional Reachability 참조하면 좋을 영상 https://youtu.be/7SwTcuBG0_I 관련 설명 영상 https://blog.naver.com/ehddbs1213/222883827815 [강화학습 - Safe RL] Somil Bansal - DeepReach: Learning for High-Dimensional Reachability Problems 필기 정리 https://youtu.be/7SwTcuBG0_I blog.naver.com 필기 정리 논문 정보 논문명: DeepReach: A Deep Learning Approach to High-Dimensional Reachability 저자: Somil Bansal, and Claire J. Tomlin 기관명: University of Southern California, UC Berkeley...