Cambridge University Press, Behavioral and Brain Sciences, (47), 2024
DOI: 10.1017/s0140525x23003394
Full text: Unavailable
Abstract Curiosity and creativity are expressions of the trade-off between leveraging that with which we are familiar or seeking out novelty. Through the computational lens of reinforcement learning, we describe how formulating the value of information seeking and generation via their complementary effects on planning horizons formally captures a range of solutions to striking this balance.