leopepe/GOApy
Goal-Oriented Action Planning implementation in Python
This project helps create intelligent agents that can figure out the best sequence of actions to achieve a specific goal. You define the agent's current situation, its desired goal, and a list of possible actions it can take, along with what each action requires and what it achieves. The system then outputs the most efficient plan—a step-by-step list of actions—to get to that goal. This is useful for anyone designing autonomous systems, like game developers for NPCs or robotics engineers.
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Use this if you need an autonomous agent to dynamically plan its actions to reach a goal based on its current environment and available tools.
Not ideal if you need a system that learns optimal strategies from data or makes predictions, as this focuses on deterministic planning.
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50
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Language
Python
License
BSD-2-Clause
Category
Last pushed
Apr 30, 2025
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