VLP: Vision-Language Preference Learning for Embodied Manipulation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Runze, Bai, Chenjia, Lyu, Jiafei, Sun, Shengjie, Du, Yali, Li, Xiu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
by: Liu, Runze, et al.
Published: (2023)
by: Liu, Runze, et al.
Published: (2023)
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
by: Zhang, Junjie, et al.
Published: (2024)
by: Zhang, Junjie, et al.
Published: (2024)
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)
by: Sun, Shengjie, et al.
Published: (2025)
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
by: Sun, Shengjie, et al.
Published: (2024)
by: Sun, Shengjie, et al.
Published: (2024)
Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
by: Guan, Weifan, et al.
Published: (2025)
by: Guan, Weifan, et al.
Published: (2025)
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
by: Bai, Fengshuo, et al.
Published: (2024)
by: Bai, Fengshuo, et al.
Published: (2024)
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems
by: Li, Runze, et al.
Published: (2026)
by: Li, Runze, et al.
Published: (2026)
DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
by: Zheng, Zihao, et al.
Published: (2026)
by: Zheng, Zihao, et al.
Published: (2026)
Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering
by: Qiao, Zhongjian, et al.
Published: (2025)
by: Qiao, Zhongjian, et al.
Published: (2025)
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
by: Doshi, Ria, et al.
Published: (2024)
by: Doshi, Ria, et al.
Published: (2024)
HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness
by: Zheng, Zihao, et al.
Published: (2026)
by: Zheng, Zihao, et al.
Published: (2026)
From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
by: Li, Zhuofan, et al.
Published: (2026)
by: Li, Zhuofan, et al.
Published: (2026)
MEM: Multi-Scale Embodied Memory for Vision Language Action Models
by: Torne, Marcel, et al.
Published: (2026)
by: Torne, Marcel, et al.
Published: (2026)
Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning
by: Xie, Weiji, et al.
Published: (2025)
by: Xie, Weiji, et al.
Published: (2025)
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
by: Yuan, Yifu, et al.
Published: (2025)
by: Yuan, Yifu, et al.
Published: (2025)
RobustVLA: Robustness-Aware Reinforcement Post-Training for Vision-Language-Action Models
by: Zhang, Hongyin, et al.
Published: (2025)
by: Zhang, Hongyin, et al.
Published: (2025)
CRL-VLA: Continual Vision-Language-Action Learning
by: Zeng, Qixin, et al.
Published: (2026)
by: Zeng, Qixin, et al.
Published: (2026)
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
by: Lyu, Mingyang, et al.
Published: (2025)
by: Lyu, Mingyang, et al.
Published: (2025)
Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own
by: Ye, Weirui, et al.
Published: (2023)
by: Ye, Weirui, et al.
Published: (2023)
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
by: Pumacay, Wilbert, et al.
Published: (2024)
by: Pumacay, Wilbert, et al.
Published: (2024)
SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
by: Sejnova, Gabriela, et al.
Published: (2024)
by: Sejnova, Gabriela, et al.
Published: (2024)
Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
by: Tang, Runze, et al.
Published: (2026)
by: Tang, Runze, et al.
Published: (2026)
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2020)
by: Bai, Chenjia, et al.
Published: (2020)
Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
by: Qiao, Zhongjian, et al.
Published: (2026)
by: Qiao, Zhongjian, et al.
Published: (2026)
Language-Conditioned Representations and Mixture-of-Experts Policy for Robust Multi-Task Robotic Manipulation
by: Zhang, Xiucheng, et al.
Published: (2025)
by: Zhang, Xiucheng, et al.
Published: (2025)
FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction
by: Zhang, Yanghai, et al.
Published: (2025)
by: Zhang, Yanghai, et al.
Published: (2025)
GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning
by: Yuan, Xiu
Published: (2024)
by: Yuan, Xiu
Published: (2024)
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
by: He, Haoran, et al.
Published: (2024)
by: He, Haoran, et al.
Published: (2024)
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
by: Yang, Jingkang, et al.
Published: (2023)
by: Yang, Jingkang, et al.
Published: (2023)
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
by: Li, Wenxuan, et al.
Published: (2025)
by: Li, Wenxuan, et al.
Published: (2025)
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
by: Tan, Hengkai, et al.
Published: (2024)
by: Tan, Hengkai, et al.
Published: (2024)
TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
by: Im, Hokyun, et al.
Published: (2025)
by: Im, Hokyun, et al.
Published: (2025)
ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
by: Zhao, Yanpeng, et al.
Published: (2026)
by: Zhao, Yanpeng, et al.
Published: (2026)
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models
by: Chakraborty, Trishna, et al.
Published: (2025)
by: Chakraborty, Trishna, et al.
Published: (2025)
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
by: Li, Zechu, et al.
Published: (2025)
by: Li, Zechu, et al.
Published: (2025)
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
by: He, Haoran, et al.
Published: (2023)
by: He, Haoran, et al.
Published: (2023)
Similar Items
-
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
by: Liu, Runze, et al.
Published: (2023) -
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
by: Zhang, Junjie, et al.
Published: (2024) -
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025) -
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
by: Sun, Shengjie, et al.
Published: (2024) -
Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
by: Guan, Weifan, et al.
Published: (2025)