A Multi-Task Dynamic Weight Optimization Framework Based on Deep Reinforcement Learning
In recent years, multi-task learning (MTL) has been shown to have considerable potential for enhancing model performance through the inter-task sharing of knowledge. Nevertheless, the effective balancing of optimization across diverse tasks remains a significant challenge. This paper presents a nove...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/5/2473 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|