DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning
cs.NI, cs.AI, cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Temporal Difference Learning for Model Predictive Control
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- World Models
- Mastering Atari with Discrete World Models
- Training Agents Inside of Scalable World Models
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
- General agents contain world models
- MobiWorld: World Models for Mobile Wireless Network
- Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
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