Abstract: Accurate control of continuum robots is challenging, especially in the presence of external disturbances. To address this issue, reinforcement learning (RL) has been increasingly ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...
Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
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