Adaptive Q-Chunking for Offline-to-Online Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Gireesh, Nandiraju, Ju, Yuanliang, Wang, He |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control
by: Do, Tan-Dzung, et al.
Published: (2025)
by: Do, Tan-Dzung, et al.
Published: (2025)
HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks
by: Gireesh, Nandiraju, et al.
Published: (2026)
by: Gireesh, Nandiraju, et al.
Published: (2026)
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
by: Nakhaei, Mohammadreza, et al.
Published: (2024)
by: Nakhaei, Mohammadreza, et al.
Published: (2024)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)
by: Wu, Kun, et al.
Published: (2024)
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)
ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network
by: Chen, Qian, et al.
Published: (2026)
by: Chen, Qian, et al.
Published: (2026)
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
by: Yan, Teng, et al.
Published: (2024)
by: Yan, Teng, et al.
Published: (2024)
Decoupled Q-Chunking
by: Li, Qiyang, et al.
Published: (2025)
by: Li, Qiyang, et al.
Published: (2025)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)
by: Li, Qiyang, et al.
Published: (2025)
Equivariant Offline Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2024)
by: Tangri, Arsh, et al.
Published: (2024)
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
by: Lei, Kun, et al.
Published: (2023)
by: Lei, Kun, et al.
Published: (2023)
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2026)
by: Nguyen, Thanh, et al.
Published: (2026)
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)
by: Alles, Marvin, et al.
Published: (2025)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
by: Zhang, Hongyin, et al.
Published: (2023)
by: Zhang, Hongyin, et al.
Published: (2023)
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
by: Corrado, Nicholas E., et al.
Published: (2023)
by: Corrado, Nicholas E., et al.
Published: (2023)
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
by: Schmähling, Tobias, et al.
Published: (2026)
by: Schmähling, Tobias, et al.
Published: (2026)
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
by: So, Junhyuk, et al.
Published: (2025)
by: So, Junhyuk, et al.
Published: (2025)
EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning
by: Hossain, Jumman, et al.
Published: (2024)
by: Hossain, Jumman, et al.
Published: (2024)
Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning
by: Lee, Sungyoung, et al.
Published: (2026)
by: Lee, Sungyoung, et al.
Published: (2026)
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing
by: Asodia, Vinal, et al.
Published: (2025)
by: Asodia, Vinal, et al.
Published: (2025)
Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
by: Li, Huanyu, et al.
Published: (2026)
by: Li, Huanyu, et al.
Published: (2026)
MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning
by: Ju, Yuanchen, et al.
Published: (2025)
by: Ju, Yuanchen, et al.
Published: (2025)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)
by: Qiao, RuiXi, et al.
Published: (2025)
Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)
by: Hou, Yiwen, et al.
Published: (2024)
A Clean Slate for Offline Reinforcement Learning
by: Jackson, Matthew Thomas, et al.
Published: (2025)
by: Jackson, Matthew Thomas, et al.
Published: (2025)
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)
by: Pan, Minting, et al.
Published: (2023)
Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations
by: Ayabe, Shingo, et al.
Published: (2024)
by: Ayabe, Shingo, et al.
Published: (2024)
GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion
by: Zhang, Jiazhao, et al.
Published: (2023)
by: Zhang, Jiazhao, et al.
Published: (2023)
Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2026)
by: Venugopal, Aravind, et al.
Published: (2026)
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)
by: Jiang, Ke, et al.
Published: (2025)
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)
by: Ada, Suzan Ece, et al.
Published: (2025)
Variational OOD State Correction for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)
by: Jiang, Ke, et al.
Published: (2025)
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)
by: Huang, Xingshuai, et al.
Published: (2024)
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)
by: Baek, Seungho, et al.
Published: (2025)
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2023)
by: Hussing, Marcel, et al.
Published: (2023)
Similar Items
-
Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control
by: Do, Tan-Dzung, et al.
Published: (2025) -
HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks
by: Gireesh, Nandiraju, et al.
Published: (2026) -
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
by: Nakhaei, Mohammadreza, et al.
Published: (2024) -
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023) -
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)