EPOCH: An Agentic Protocol for Multi-Round System Optimization

• URL: http://arxiv.org/abs/2603.09049v1
• Date: Tue, 10 Mar 2026 00:41:03 GMT
• Title: EPOCH: An Agentic Protocol for Multi-Round System Optimization
• Abstract summary: We introduce EPOCH, an engineering protocol for multi-round system optimization in heterogeneous environments.<n>EPOCH organizes optimization into two phases: baseline construction and iterative self-improvement.<n>It further structures each round through role-constrained stages that separate planning, implementation, and evaluation.
• Score: 0.4269415289712572
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Autonomous agents are increasingly used to improve prompts, code, and machine learning systems through iterative execution and feedback. Yet existing approaches are usually designed as task-specific optimization loops rather than as a unified protocol for establishing baselines and managing tracked multi-round self-improvement. We introduce EPOCH, an engineering protocol for multi-round system optimization in heterogeneous environments. EPOCH organizes optimization into two phases: baseline construction and iterative self-improvement. It further structures each round through role-constrained stages that separate planning, implementation, and evaluation, and standardizes execution through canonical command interfaces and round-level tracking. This design enables coordinated optimization across prompts, model configurations, code, and rule-based components while preserving stability, reproducibility, traceability, and integrity of evaluation. Empirical studies in various tasks illustrate the practicality of EPOCH for production-oriented autonomous improvement workflows.

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