Abstract: Constrained optimization is popularly seen in reinforcement learning (RL) for addressing complex control tasks. From the perspective of dynamic system, iteratively solving a constrained ...
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
Advances in analytical chemistry are improving food safety. From mass spectrometry to machine learning and biosensors, ...
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