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Abstract: Whole-body loco-manipulation for quadruped robots with arms remains a challenging problem, particularly in achieving multi-task control. To address this, we propose MLM, a reinforcement ...
Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...
Multi-agent systems enable complex task decomposition by coordinating multiple specialized AI agents. This repository showcases five distinct orchestration patterns, each with working Python examples ...
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