Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
WorldAgen: Unified State-Action Prediction with Test-Time World Model Training
Chi Wan, Kangrui Wang, Yuan Si +2
How can vision-language-action (VLA) models adapt to new environments where world dynamics shift? While recent research has combined world modeling and action prediction to improve…
cs.AI2025
VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
Kangrui Wang, Pingyue Zhang, Zihan Wang +13
A key challenge in training Vision-Language Model (VLM) agents, compared to Language Model (LLM) agents, lies in the shift from textual states to complex visual observations. This…