Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3264758
Abstract: Mobile manipulation in robotics is challenging due to the need to solve many diverse tasks, such as opening a door or picking-and-placing an object. Typically, a basic first-principles system description of the robot is available,… read more here.
Keywords: task learning; model; multi task; bayesian multi ... See more keywords
A Bayesian multi-stage cost-effectiveness design for animal studies in stroke research
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DOI: 10.1177/0962280216657853
Abstract: Much progress has been made in the area of adaptive designs for clinical trials. However, little has been done regarding adaptive designs to identify optimal treatment strategies in animal studies. Motivated by an animal study… read more here.
Keywords: multi stage; animal studies; bayesian multi; cost effectiveness ... See more keywords
A Bayesian Multi-Armed Bandit Algorithm for Dynamic End-to-End Routing in SDN-Based Networks with Piecewise-Stationary Rewards
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DOI: 10.3390/a16050233
Abstract: To handle the exponential growth of data-intensive network edge services and automatically solve new challenges in routing management, machine learning is steadily being incorporated into software-defined networking solutions. In this line, the article presents the… read more here.
Keywords: end end; armed bandit; piecewise stationary; end ... See more keywords