arXiv (All)
open access
Gradient-Momentum Coupling: A Parameter-Space Proxy for Learning Progress
Measuring learning progress is at the core of curiosity-driven exploration, which rewards an agent for going where its model is still learning. However, the abstract notion of learning progress is not directly measurable, and existing methods often derive it from the prediction error in the output s
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
- Updating, undermining, and perceptual learning#753993
- Metacognitively Discordant Completion and the Aware Pass-Through of Non-Understanding in Generative AI Learning#450630
- Residual-based attention in physics-informed neural networks#665430
- Residual-based attention in physics-informed neural networks#663930
- Understanding Off- vs On-Policy Distillation: A Tale of Distinct Training Objectives#1143267
Record · ID 1105035
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