Edge 393: Understanding Planning Techniques in Autonomous Agents
Was this email forwarded to you? Sign up here Edge 393: Understanding Planning Techniques in Autonomous AgentsA taxonomy of planning in autonomous agents, the ADaPT planning method and the XLANG framework.In this Issue:
Let’s go! 💡 ML Concept of the Day: Understanding Planning in Autonomous AgentsPlanning is, arguably, the most important capability of autonomous agents. By planning, we refer to the ability of taking an abstract goal as input, decomposing it into specific tasks and execute those tasks. Every autonomous agent framework incorporates some planning capabilities even though there hasn’t been a formal definition of the space. Obviously, there are many ways to implement planning in autonomous agents. A recent paper from AI researchers from the University of Science and Technology of China, Hefei, China outlines a taxonomy for planning methods in autonomous agents that we find quite helpful. In their paper, the researchers identified five forms of planning in autonomous agents:... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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