A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

Abstract: With the increasing complexity of badminton, traditional methods for technical and tactical decision-making often struggle to handle high-frequency, high-complexity match scenarios. To ...

Abstract: While achieving tremendous success in various fields, existing multi-agent reinforcement learning (MARL) with a black-box neural network makes decisions in an opaque manner that hinders ...