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cs.RO2026
GWM-VLA: Geometry-Aware Latent World Modeling for Vision-Language-Action Learning
Yanping Zhao, Hang Yu, Yiwei Wang +7
Vision-Language-Action (VLA) models achieve strong robotic manipulation performance but often degrade under visual and environmental shifts. Latent world modeling offers a promisin…
cs.LG2026
ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network
Qian Chen, Junqiao Zhao, Hongtu Zhou +4
Long-horizon, sparse-reward tasks pose a fundamental challenge for reinforcement learning, since single-step TD learning suffers from bootstrapping error accumulation across succes…