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X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
Successful generalist Vision-Language-Action (VLA) models rely on effective training across diverse robotic platforms with large-scale, …
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X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Semi-supervised learning holds great promise for many real-world applications, due to its ability to leverage both unlabeled and …
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A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning
The optimization of traffic signal control (TSC) is critical for an efficient transportation system. In recent years, reinforcement …
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PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
Offline-to-online reinforcement learning (RL), by combining the benefits of offline pretraining and online finetuning, promises …
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