Dream-RSI: Recursive Self-Improvement through Evolving Worlds

Excerpt

arXiv:2609.14858v2 Announce Type: replace Abstract: Recursive self-improvement is becoming essential for autonomous AI agents, whose progress depends on discovering high-value solutions across complex domains. Effective exploration drives this process, yet managing and improving exploration strategies remains a major bottleneck. Current systems face a fundamental dilemma: fixed strategies fail to adapt as search spaces scale, while online policy optimization must navigate vast meta-search spaces