7 research outputs found
An Intelligent Social Learning-based Optimization Strategy for Black-box Robotic Control with Reinforcement Learning
Implementing intelligent control of robots is a difficult task, especially
when dealing with complex black-box systems, because of the lack of visibility
and understanding of how these robots work internally. This paper proposes an
Intelligent Social Learning (ISL) algorithm to enable intelligent control of
black-box robotic systems. Inspired by mutual learning among individuals in
human social groups, ISL includes learning, imitation, and self-study styles.
Individuals in the learning style use the Levy flight search strategy to learn
from the best performer and form the closest relationships. In the imitation
style, individuals mimic the best performer with a second-level rapport by
employing a random perturbation strategy. In the self-study style, individuals
learn independently using a normal distribution sampling method while
maintaining a distant relationship with the best performer. Individuals in the
population are regarded as autonomous intelligent agents in each style. Neural
networks perform strategic actions in three styles to interact with the
environment and the robot and iteratively optimize the network policy. Overall,
ISL builds on the principles of intelligent optimization, incorporating ideas
from reinforcement learning, and possesses strong search capabilities, fast
computation speed, fewer hyperparameters, and insensitivity to sparse rewards.
The proposed ISL algorithm is compared with four state-of-the-art methods on
six continuous control benchmark cases in MuJoCo to verify its effectiveness
and advantages. Furthermore, ISL is adopted in the simulation and experimental
grasping tasks of the UR3 robot for validations, and satisfactory solutions are
yielded
Additional file 3 of Long non-coding RNA crnde promotes deep vein thrombosis by sequestering miR-181a-5p away from thrombogenic Pcyox1l
Supplementary Material
Additional file 2 of Long non-coding RNA crnde promotes deep vein thrombosis by sequestering miR-181a-5p away from thrombogenic Pcyox1l
Supplementary Material
Additional file 1 of Long non-coding RNA crnde promotes deep vein thrombosis by sequestering miR-181a-5p away from thrombogenic Pcyox1l
Figure S1 Identification of primary endothelial cells. A, The morphology of primary endothelial cells observed under alight microscope. B, The positive expression of endothelial marker proteins CD31 and VE-Cadherin in primary endothelial cells observed under a fluorescence microscope. The green color indicates CD31 or VE-Cadherin, and the blue color indicates DAPI. The cell experiments were independently repeated three time
Additional file 4 of Long non-coding RNA crnde promotes deep vein thrombosis by sequestering miR-181a-5p away from thrombogenic Pcyox1l
Supplementary Material