Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning

The author introduces CLIPS, a Bayesian agent architecture for pragmatic instruction following and goal assistance, modeling humans as cooperative planners communicating joint plans to the assistant. CLIPS uses multimodal Bayesian inference to pragmatically follow ambiguous instructions and provide effective assistance even when uncertain about the goal.