Efficient Learning of Predictive Maps for Flexible Planning
This paper introduces the Successor Representation with Importance Sampling (SR-IS), a novel model that constructs policy-independent predictive maps to enable efficient, flexible planning and better explains human replanning biases compared to existing theories.