Yusuf Asan

Decodable, Compositional Affect-Like Representations in a Self-Taught Agent and Pretrained Language Models

We study whether emotion-like internal variables arise without hand-coding in artificial networks, and whether affect-related representations share common geometric structure across systems. In a self-taught homeostatic reinforcement-learning agent - trained only with a well-being reward and no emotion labels or object...