Autonomous AI Agents with Cyclical Self-Improvement: A Framework for Experience Consolidation and Parameter-Efficient Fine-Tuning
We present a novel framework for autonomous AI agents that achieve cyclical self-improvement through experience consolidation and parameter-efficient fine-tuning, analogous to human learning during sleep. Our approach integrates temporal segmentation
Authors
- Avishikta Chatterjee
Institutions
- Synopsys (Switzerland) (CH)
Publication Details
- Published
- 2025-08-20
- DOI
- https://doi.org/10.36227/techrxiv.175571941.16848640/v1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Washington
- DeepMind