2 papers
cs.CV2026
DRILL: Training World Models to Improve Policies, Not Predict Pixels
Zhaolu Kang, Tailong Luo, Lei Wei +9
World models are increasingly used to reduce environment interaction when post-training vision-language-action (VLA) policies with reinforcement learning. Yet they are typically tr…
eess.SY2026
Counterfactual Action-Conditioned Graph Prediction for Cascading-Failure Mitigation in Power Systems
Fangxin Liu, Zhentao Tian
Cascading failures develop through coupled power flow redistribution, protection actions, and topology changes, making remedial control dependent on how alternative interventions m…