Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zhi, Jiale"'
Publikováno v:
In Journal of Functional Foods November 2024 122
Recent advances in machine learning are consistently enabled by increasing amounts of computation. Reinforcement learning (RL) and population-based methods in particular pose unique challenges for efficiency and flexibility to the underlying distribu
Externí odkaz:
http://arxiv.org/abs/2003.11164
Autor:
Wang, Rui, Lehman, Joel, Rawal, Aditya, Zhi, Jiale, Li, Yulun, Clune, Jeff, Stanley, Kenneth O.
Creating open-ended algorithms, which generate their own never-ending stream of novel and appropriately challenging learning opportunities, could help to automate and accelerate progress in machine learning. A recent step in this direction is the Pai
Externí odkaz:
http://arxiv.org/abs/2003.08536
Autor:
Such, Felipe Petroski, Madhavan, Vashisht, Liu, Rosanne, Wang, Rui, Castro, Pablo Samuel, Li, Yulun, Zhi, Jiale, Schubert, Ludwig, Bellemare, Marc G., Clune, Jeff, Lehman, Joel
Much human and computational effort has aimed to improve how deep reinforcement learning algorithms perform on benchmarks such as the Atari Learning Environment. Comparatively less effort has focused on understanding what has been learned by such met
Externí odkaz:
http://arxiv.org/abs/1812.07069
Autor:
Xu H; School of Mechanical Engineering and Automation, Beihang University, Beijing, China.; The ShenYuan Honors College, Beihang University, Beijing, China., Zhi J; CENTRALE PEKIN/School of General Engineering, Beihang University, Beijing, China., Chen B; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Zhao S; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Huang J; School of Aeronautic Science and Engineering, Beihang University, Beijing, China., Bi C; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Li L; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Tian B; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Liu Y; CENTRALE PEKIN/School of General Engineering, Beihang University, Beijing, China., Zhang Y; Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore., Duan J; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Yang F; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., He X; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Xu K; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Wu K; INRIA, Villeneuve d'Ascq, France., Wang T; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Pham N; Imperial College London, London, United Kingdom., Ding X; School of Mechanical Engineering and Automation, Beihang University, Beijing, China., Wen L; School of Mechanical Engineering and Automation, Beihang University, Beijing, China.
Publikováno v:
Soft robotics [Soft Robot] 2024 Oct 16. Date of Electronic Publication: 2024 Oct 16.