Edge 397: Multi-Plan Selection in Autonomous Agents
Agents that can generate and evaluate multiple plans simultaneously.
In this Issue:
Autonomous agents that can evaluate multiple plans simultaneously.
Allen AI’s ADaPT research paper about task decomposition in autonomous agents.
The SuperAGI framework to build autonomous agents.
💡 ML Concept of the Day: Multi-Plan Selection in Autonomous Agents
Planning is, arguably, the most difficult capability of autonomous agents. The idea of generating a plan for a given task requires many building blocks and, therefore, its fundamentally harder to achieve in a single try seems unfathomable. Multi-plan selection is a simple technique that attempts to generate multiple plans and select the most optimal one for a given task. This technique minimizes potential errors in plan formulations in autonomous agents. Multi-plan selection involves two key phases: creating multiple plans and then picking the best one.
1) Multi-Plan Generation