MaestroMotif: A method for AI-assisted skill design that produces highly capable and steerable hierarchical agents.
The first method that, without expert labeled datasets, solves compositional tasks requiring hundreds of steps for completion. All the modules within MaestroMotif are learned from interaction: from the highest level of planning to the lowest-level of sensorimotor control. At the heart of MaestroMotif is the idea that decomposing a task into subtasks significantly helps decision making.
Read more: https://github.com/mklissa/maestromotif
The first method that, without expert labeled datasets, solves compositional tasks requiring hundreds of steps for completion. All the modules within MaestroMotif are learned from interaction: from the highest level of planning to the lowest-level of sensorimotor control. At the heart of MaestroMotif is the idea that decomposing a task into subtasks significantly helps decision making.
Read more: https://github.com/mklissa/maestromotif