arXiv (All)
open access
Harness Annealing: Learning to Act with Less External Control
Language agents rely on external harnesses to track state, organize workflows, and verify answers. Beyond providing tools and information, these harnesses supply control decisions about what to investigate, whether to revise, and when to stop. Training on successful harness-supported trajectories ca
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AI Harness: Certification under Proposal-Conditioned Information for Foundation-Model Agents#1116515
- LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure#451273
- ReCAT: Remember, Count, and Time: Structured Recurrent Memory for Robot Manipulation#1129797
- Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics#657505
- AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning#1156330
Record · ID 1156507
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive