Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Tianle, Guan, Jiayi, Zhao, Lin, Li, Yihang, Li, Dongjiang, Zeng, Zecui, Sun, Lei, Chen, Yue, Wei, Xuelong, Li, Lusong, He, Xiaodong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks
by: Zhang, Tianle, et al.
Published: (2024)
by: Zhang, Tianle, et al.
Published: (2024)
AdaMorph: Unified Motion Retargeting via Embodiment-Aware Adaptive Transformers
by: Zhang, Haoyu, et al.
Published: (2026)
by: Zhang, Haoyu, et al.
Published: (2026)
CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)
by: Huang, Dongchi, et al.
Published: (2025)
Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation
by: Li, Yihang, et al.
Published: (2025)
by: Li, Yihang, et al.
Published: (2025)
Dexterous Grasping with Real-World Robotic Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)
by: Huang, Dongchi, et al.
Published: (2025)
MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation
by: Li, Baicheng, et al.
Published: (2026)
by: Li, Baicheng, et al.
Published: (2026)
Reflection-Based Task Adaptation for Self-Improving VLA
by: Li, Baicheng, et al.
Published: (2025)
by: Li, Baicheng, et al.
Published: (2025)
Arena as Offline Reward: Efficient Fine-Grained Preference Optimization for Diffusion Models
by: Li, Zhikai, et al.
Published: (2026)
by: Li, Zhikai, et al.
Published: (2026)
Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
by: Xu, Yinglun, et al.
Published: (2023)
by: Xu, Yinglun, et al.
Published: (2023)
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2025)
by: Kang, Hyungkyu, et al.
Published: (2025)
ViTaMIn-B: A Reliable and Efficient Visuo-Tactile Bimanual Manipulation Interface
by: Li, Chuanyu, et al.
Published: (2025)
by: Li, Chuanyu, et al.
Published: (2025)
DexSim2Real$^{2}$: Building Explicit World Model for Precise Articulated Object Dexterous Manipulation
by: Jiang, Taoran, et al.
Published: (2024)
by: Jiang, Taoran, et al.
Published: (2024)
DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions
by: Li, Zongyue, et al.
Published: (2025)
by: Li, Zongyue, et al.
Published: (2025)
Offline Policy Optimization with Posterior Sampling
by: Lin, Hongqiang, et al.
Published: (2026)
by: Lin, Hongqiang, et al.
Published: (2026)
Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy
by: Wu, Pengyuan, et al.
Published: (2026)
by: Wu, Pengyuan, et al.
Published: (2026)
Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model
by: Xu, Wenjiang, et al.
Published: (2025)
by: Xu, Wenjiang, et al.
Published: (2025)
Seeing What Matters: Visual Preference Policy Optimization for Visual Generation
by: Ni, Ziqi, et al.
Published: (2025)
by: Ni, Ziqi, et al.
Published: (2025)
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning
by: He, Longxiang, et al.
Published: (2023)
by: He, Longxiang, et al.
Published: (2023)
Segment-Aligned Policy Optimization for Multi-Modal Reasoning
by: Gao, Lei, et al.
Published: (2026)
by: Gao, Lei, et al.
Published: (2026)
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)
by: Hu, Jifeng, et al.
Published: (2025)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)
by: Gao, Chen-Xiao, et al.
Published: (2025)
LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
by: Liu, Xiao-Yin, et al.
Published: (2024)
by: Liu, Xiao-Yin, et al.
Published: (2024)
HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning
by: Zhang, Jiyao, et al.
Published: (2026)
by: Zhang, Jiyao, 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)
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
by: Yu, Xudong, et al.
Published: (2024)
by: Yu, Xudong, et al.
Published: (2024)
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
by: Zeng, Xianghua, et al.
Published: (2025)
by: Zeng, Xianghua, et al.
Published: (2025)
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)
by: Liu, Zongkai, et al.
Published: (2024)
PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking
by: Nie, Junnan, et al.
Published: (2026)
by: Nie, Junnan, et al.
Published: (2026)
An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation
by: Li, Dongjiang, et al.
Published: (2025)
by: Li, Dongjiang, et al.
Published: (2025)
Safe Semantics, Unsafe Interpretations: Tackling Implicit Reasoning Safety in Large Vision-Language Models
by: Cai, Wei, et al.
Published: (2025)
by: Cai, Wei, et al.
Published: (2025)
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2024)
by: Bai, Chenjia, et al.
Published: (2024)
Preference-Guided Diffusion for Multi-Objective Offline Optimization
by: Annadani, Yashas, et al.
Published: (2025)
by: Annadani, Yashas, et al.
Published: (2025)
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
OER: Offline Experience Replay for Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2023)
by: Gai, Sibo, et al.
Published: (2023)
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
by: Li, Ke, et al.
Published: (2024)
by: Li, Ke, et al.
Published: (2024)
AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation
by: Zhao, Ziyan, et al.
Published: (2025)
by: Zhao, Ziyan, et al.
Published: (2025)
What Limits Vision-and-Language Navigation ?
by: Wang, Yunheng, et al.
Published: (2026)
by: Wang, Yunheng, et al.
Published: (2026)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
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)
Similar Items
-
Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks
by: Zhang, Tianle, et al.
Published: (2024) -
AdaMorph: Unified Motion Retargeting via Embodiment-Aware Adaptive Transformers
by: Zhang, Haoyu, et al.
Published: (2026) -
CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025) -
Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation
by: Li, Yihang, et al.
Published: (2025) -
Dexterous Grasping with Real-World Robotic Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)