Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...

Abstract: Most existing distributed optimization (DO) algorithms, often ideal for linear models, struggle to accurately capture the behavior of systems or datasets exhibiting multiplicative dynamics, ...