Compression algorithms for experience are of great interest to ML practitioners and they have some practices that seem to work well. Curriculum learning, feedback from verifiable rewards. Solve problems that escalate in difficulty, are near the boundary of your capability, and ideally have a strong positive or negative feedback on actions sooner rather than later.