2 citations · 2 across the 3 of their papers we have counts for
3 papers
Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
Yu Ishihara, Noriaki Takasugi, Kotaro Kawakami +2
Reinforcement learning has become an essential algorithm for generating complex robotic behaviors. However, to learn such behaviors, it is necessary to design a reward function tha…
Improving Wind Resistance Performance of Cascaded PID Controlled Quadcopters using Residual Reinforcement Learning
Yu Ishihara, Yuichi Hazama, Kousuke Suzuki +3
Wind resistance control is an essential feature for quadcopters to maintain their position to avoid deviation from target position and prevent collisions with obstacles. Convention…
Naming Objects for Vision-and-Language Manipulation
Tokuhiro Nishikawa, Kazumi Aoyama, Shunichi Sekiguchi +5
Robot manipulation tasks by natural language instructions need common understanding of the target object between human and the robot. However, the instructions often have an interp…