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continual learning 26 reinforcement learning 9 language models 5 large language models 4 robotics 4 agents 3 generative models 3 multi-agent systems 3 recursive self-improvement 3 vision-language models 3

14 SEP 2026 · Paper

ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement

This paper proposes a framework for generalizable recursive self-improvement (RSI) of agent harnesses, which can improve execution mechanisms without being specific to a particular task or benchmark. Practitioners can care about this work because it aims to create more adaptable and transferable AI agents.

recursive self-improvement agent harnesses long-horizon coding continual learning benchmark-disjoint evolution modularization

14 SEP 2026 · Paper

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

This paper introduces Dream-RSI, a framework for recursive self-improvement in exploration, which helps autonomous AI agents discover high-value solutions more efficiently by using a replay simulator to provide low-cost feedback. Practitioners might care because effective exploration is crucial for AI progress, and Dream-RSI can improve discovery quality and reduce costs.

recursive self-improvement exploration reinforcement learning meta-search spaces off-policy learning low-cost feedback

14 SEP 2026 · Paper

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

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 learning multi-agent systems autonomous exploration recursive self-improvement transfer learning