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.

Name		Name	Last commit message	Last commit date
Latest commit History 66 Commits
apla-planner/generated_pddls_deepseek		apla-planner/generated_pddls_deepseek
.gitignore		.gitignore
README.md		README.md
basic_scenario_gpt.py		basic_scenario_gpt.py
box_plots.py		box_plots.py
client_model_setup.py		client_model_setup.py
llm_qa.py		llm_qa.py
llm_qa_direct_only.py		llm_qa_direct_only.py
parallel_experiments.py		parallel_experiments.py
parse_scenario_womd.py		parse_scenario_womd.py
parsed_data_retrieval.py		parsed_data_retrieval.py
pddl_gen.py		pddl_gen.py
planner.py		planner.py
requirements.txt		requirements.txt
run_experiments.py		run_experiments.py
run_llm_qa.py		run_llm_qa.py
run_parser.py		run_parser.py
run_planner.py		run_planner.py
search_plan.py		search_plan.py
test.py		test.py
test.xodr		test.xodr
test_deepinfra.py		test_deepinfra.py