LIRAS synthesizes PDDL world models and agent configurations from language, parses video frames into symbolic states, and runs Bayesian inverse planning (SIAM) to produce human-like graded social inferences across five gridworld domains.
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Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly
LIRAS synthesizes PDDL world models and agent configurations from language, parses video frames into symbolic states, and runs Bayesian inverse planning (SIAM) to produce human-like graded social inferences across five gridworld domains.