RSI-Forge: From Research Papers to Environments for Recursive Self-Improvement

Key points

• Environments are the foundation of recursive self-improvement: they provide the problems agents work on and the feedback used to evaluate progress.1
• Yet constructing challenging research environments with reliable evaluation still depends on domain experts, limiting their scale and disciplinary coverage.1
• We present 210 environments across 18 fields, including 90 reviewed by independent human domain experts.1
• RSI-Forge provides a scalable approach to constructing research environments for training and evaluating self-improving agents.1

Sources (1)

• [1]RSI-Forge: From Research Papers to Environments for Recursive Self-Improvement
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 04:27 AM

  We introduce RSI-Forge, a multi-agent pipeline that turns published papers into executable environments for self-improvement.

  Environments are the foundation of recursive self-improvement: they provide the problems agents work on and the feedback used to evaluate progress.

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