Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sathuluri, Akhil"'
We present a solution of the swing-up and balance task for the pendubot and acrobot for the participation in the AI Olympics competition at IJCAI 2023. Our solution is based on the Soft Actor Crtic (SAC) reinforcement learning (RL) algorithm for trai
Externí odkaz:
http://arxiv.org/abs/2312.11311
Classically, the development of humanoid robots has been sequential and iterative. Such bottom-up design procedures rely heavily on intuition and are often biased by the designer's experience. Exploiting the non-linear coupled design space of robots
Externí odkaz:
http://arxiv.org/abs/2212.14256
Autor:
Pantano, Matteo, Klass, Vladislav, Yang, Qiaoyue, Sathuluri, Akhil, Regulin, Daniel, Janisch, Lucas, Zimmermann, Markus, Lee, Dongheui
Publikováno v:
In Procedia Computer Science 2024 232:1961-1971
Shaping in humans and animals has been shown to be a powerful tool for learning complex tasks as compared to learning in a randomized fashion. This makes the problem less complex and enables one to solve the easier sub task at hand first. Generating
Externí odkaz:
http://arxiv.org/abs/1905.07193
Autor:
Sathuluri, Akhil, Sureshbabu, Anand Vazhapilli, Frank, Jintin, Amm, Maximilian, Zimmermann, Markus
Publikováno v:
Robotics; Aug2023, Vol. 12 Issue 4, p91, 21p