Breaking the Spurious Link: How Causal Models Fix Offline RL鈥檚 Generalization Problem
Higher Education PressResearchers developed FOCUS, an offline RL framework that integrates causal structured world models to distinguish true causal relationships from spurious correlations in historical data. Theoretically, this approach tightens generalization error bounds, while experiments show it outperforms existing methods on benchmark tasks.