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RSIGym: A Flexible Environment for Recursive Self-Improvement

Meng, Fanqing et al.
arXiv (All) · Papers
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machine-learning
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 component
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