APPL · Agentics-robotics

概述

Project-page materials for Agent Priors-guided Policy Learning.<br><br>Publisher summary：“APPL is an agentic robot learning framework connecting policy learning with agent-based skill selection and composition through structural priors for generalization from a few…”<br><br>Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

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