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RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments

70 upvotes · 14 SEP 2026 · Sibo Zhu, Shicheng Fan, Xinyue Wang et al.

This paper introduces a new framework called RSIAgent that helps digital agents adapt to new environments without needing to be retrained. A practitioner might care about this because it allows for more efficient and effective AI systems that can learn and improve on their own.

reinforcement learningmulti-agent systemsautonomous explorationrecursive self-improvementtransfer learning