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LLM based PDDL generation to improve LLM reasoning for autonomous vehicle test scenarios.

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AugmentedDesignLab/CarPlanningProblemGen

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Large Language Model based Planning Problem Generation for Autonomous Vehicle Testing

Quick Start

  • Install python packages using requirements.txt. The environment variable OPENAI_API_KEY will need to be set up.
  • Create a dataset folder and add the files for the WOMD-Reasoning dataset. You will need to sign up for this.
  • python planner.py to generate PDDL files.

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LLM based PDDL generation to improve LLM reasoning for autonomous vehicle test scenarios.

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