AI RESEARCH

Contextual Control without Memory Growth in a Context-Switching Task

arXiv CS.AI

ArXi:2604.03479v1 Announce Type: new Context-dependent sequential decision making is commonly addressed either by providing context explicitly as an input or by increasing recurrent memory so that contextual information can be represented internally. We study a third alternative: realizing contextual dependence by intervening on a shared recurrent latent state, without enlarging recurrent dimensionality. To this end, we