Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nammoto, Takashi"'
Autor:
Ota, Kei, Jha, Devesh K., Oiki, Tomoaki, Miura, Mamoru, Nammoto, Takashi, Nikovski, Daniel, Mariyama, Toshisada
In this paper, we propose a reinforcement learning-based algorithm for trajectory optimization for constrained dynamical systems. This problem is motivated by the fact that for most robotic systems, the dynamics may not always be known. Generating sm
Externí odkaz:
http://arxiv.org/abs/1903.05751
Publikováno v:
2016 IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS); 2016, p5549-5555, 7p
Publikováno v:
2015 IEEE International Conference on Mechatronics & Automation (ICMA); 2015, p1355-1361, 7p
Publikováno v:
2015 IEEE 11th International Conference on e-Science; 2015, p1110-1117, 8p
Publikováno v:
2014 IEEE International Conference on Robotics & Automation (ICRA); 2014, p5145-5151, 7p
Publikováno v:
2013 IEEE International Conference on Automation Science & Engineering (CASE); 2013, p948-953, 6p
Publikováno v:
2013 IEEE/RSJ International Conference on Intelligent Robots & Systems; 2013, p293-298, 6p
Publikováno v:
2013 IEEE/RSJ International Conference on Intelligent Robots & Systems; 2013, p44-49, 6p