2 papers
cs.RO2026
Feat2Go: Visual Feature-Grounded Value Estimation for Embodied Reinforcement Learning
Junyang Shu, Zhiwei Lin, Bingqing Wei +1
Reinforcement learning is a promising approach for improving the capabilities of vision-language-action (VLA) models while avoiding the heavy data requirements of imitation learnin…
cs.RO2025
RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback
Junyang Shu, Zhiwei Lin, Yongtao Wang
Vision-Language-Action (VLA) models have demonstrated significant potential in the field of embodied intelligence, enabling agents to follow human instructions to complete complex…