Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems
Modern AI systems advance through continuous iteration: a loop of proposing evolution directions, implementing code, training, and evaluation. While the latter three stages are increasingly automated, the starting point --- proposing effective evolution directions --- remains a critical bottleneck that still relies hea...