Brief

Researchers have introduced Reinforced Iterative Classification (RIC), a novel approach that shifts from imitating labels to using reinforcement learning for classification tasks. This method employs a recurrent agent to iteratively refine predictions, receiving rewards for improved accuracy and offering an anytime classification capability. RIC demonstrates comparable accuracy to supervised methods on image classification benchmarks while also showing better calibration and adaptive computation allocation. AI