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#machine learning Preprint Oct 2026

RSIGym: A Flexible Environment for Recursive Self-Improvement

Recursive self-improvement requires carrying accepted changes into later improvement cycles, while studying agent-proposed changes also requires substantial research infrastructure. Existing settings often leave agents to rebuild routine infrastructure or restrict exploration to individual components. We introduce RSIG...

Fan-Qing Meng, Ling-Xiao Du, Hao-Cheng Lu et al. · 1 citation
Jul 2026

RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement

It is suggested that current agents can make useful data-centric discoveries but cannot yet translate feedback into consistent improvements, and RSIBench-Data provides a measurable, auditable testbed for the research capabilities required for recursive self-improvement.

Fan-Qing Meng, Ling-Xiao Du, Qi-Guang Chen et al. · 17 citations · ⚡2

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