A 1.5-billion-parameter local LLM fine-tuned on generated PDDL problems achieves 66.1% single-domain and 70.6% multi-domain valid-plan rates, showing lightweight neurosymbolic planners are feasible.
Robotics and Autonomous Systems 109, 139–155 (2018)
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Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
A 1.5-billion-parameter local LLM fine-tuned on generated PDDL problems achieves 66.1% single-domain and 70.6% multi-domain valid-plan rates, showing lightweight neurosymbolic planners are feasible.