Reinforcement learning from human feedback (RLHF) is a variant of reinforcement learning
(RL) that learns from human feedback instead of relying on an engineered reward function …

Learning to detect, characterize and accommodate novelties is a challenge that agents
operating in open-world domains need to address to be able to guarantee satisfactory task …

gadget getting to know is a subset of synthetic intelligence that focuses on making
predictions via reading and getting to know patterns from records. In current years, machine …