AGENTIC-SYSTEMSJuly 16, 20261 min read

Self-Improvements in Modern Agentic Systems: A Survey

This survey paper explores the transition of self-improving autonomous agents from research prototypes to deployed systems, framing them as adaptive systems that convert experience into capability gains.

Computer Science > Artificial Intelligence

Title:Self-Improvements in Modern Agentic Systems: A Survey

View PDF HTML (experimental)Abstract:Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation, from experience with minimal or even no human input. This survey frames modern self-improving agents as adaptive systems that convert experience into accumulated capability gains. We offer a system-level framework that represents a modern agent as a configuration coupling a foundation model with an operational scaffold of prompts, memory, tools, and control logic. Within this framework, self-improvement is formalized as a self-induced update operator that obtains and commits updates to model parameters or scaffold components. We organize prior work by update target and by the signals that drive change, then review applications and discuss evaluation, before closing with open problems and future directions. For convenience, we track technical updates on this https URL.

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Source: arXiv cs.AI Recent

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