Feedback Systems

2 items

RESEARCHarXiv CS.AI·4/13/2026

Model Space Reasoning as Search in Feedback Space for Planning Domain Generation

This research investigates using an agentic language model feedback framework to generate high-quality planning domains from augmented natural language descriptions. It evaluates the impact of various symbolic feedback mechanisms, like landmarks and plan validation output, in conjunction with heuristic search over model space to optimize domain quality.

Symbolic AI Agentic AI AI Planning Feedback Systems

ARTICLEDEV.to AI·4/12/2026

I Built a Feedback-to-Enforcement Pipeline That Stops Claude Code From Repeating Mistakes

This article describes recurring problems with AI coding agents, such as session amnesia, hallucinations, and repeated errors. It presents a solution called 'thumbgate', a feedback-to-enforcement pipeline that learns from mistakes and prevents their recurrence.

Claude error prevention AI coding agents Feedback Systems