Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only
Fuente:
arXiv
Saved in:
| Main Authors: | Xiao, Wei, Liu, Jiacheng, Zhuang, Zifeng, Suo, Runze, Lyu, Shangke, Wang, Donglin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025)
by: Zhuang, Zifeng, 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)
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
by: Rafailov, Rafael, et al.
Published: (2024)
by: Rafailov, Rafael, et al.
Published: (2024)
Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph
by: Zhang, Hongyin, et al.
Published: (2023)
by: Zhang, Hongyin, et al.
Published: (2023)
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
by: Zhang, Ziqi, et al.
Published: (2023)
by: Zhang, Ziqi, et al.
Published: (2023)
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
by: Nakamoto, Mitsuhiko, et al.
Published: (2023)
by: Nakamoto, Mitsuhiko, et al.
Published: (2023)
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)
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
by: Mark, Max Sobol, et al.
Published: (2024)
by: Mark, Max Sobol, et al.
Published: (2024)
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
by: Niu, Haoyi, et al.
Published: (2023)
by: Niu, Haoyi, et al.
Published: (2023)
Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation
by: Su, Run, et al.
Published: (2025)
by: Su, Run, et al.
Published: (2025)
CMR: Contractive Mapping Embeddings for Robust Humanoid Locomotion on Unstructured Terrains
by: Zeng, Qixin, et al.
Published: (2026)
by: Zeng, Qixin, et al.
Published: (2026)
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)
Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals
by: Pappalardo, Octavio
Published: (2026)
by: Pappalardo, Octavio
Published: (2026)
Language-Conditioned Offline RL for Multi-Robot Navigation
by: Morad, Steven, et al.
Published: (2024)
by: Morad, Steven, et al.
Published: (2024)
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)
by: Zhang, Jesse, et al.
Published: (2024)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
by: Choi, Wonhyeok, et al.
Published: (2026)
by: Choi, Wonhyeok, et al.
Published: (2026)
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)
by: Park, Seohong, et al.
Published: (2023)
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
by: Kim, Changyeon, et al.
Published: (2025)
by: Kim, Changyeon, et al.
Published: (2025)
Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
by: Wagenmaker, Andrew, et al.
Published: (2025)
by: Wagenmaker, Andrew, et al.
Published: (2025)
Diffusion Models as Optimizers for Efficient Planning in Offline RL
by: Huang, Renming, et al.
Published: (2024)
by: Huang, Renming, 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)
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
by: Rowe, Luke, et al.
Published: (2024)
by: Rowe, Luke, et al.
Published: (2024)
ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation
by: Zhang, Songyuan, et al.
Published: (2026)
by: Zhang, Songyuan, et al.
Published: (2026)
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
by: Wang, Jifeng, et al.
Published: (2024)
by: Wang, Jifeng, et al.
Published: (2024)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)
by: Lin, Haohong, et al.
Published: (2023)
Discovering Self-Protective Falling Policy for Humanoid Robot via Deep Reinforcement Learning
by: Shi, Diyuan, et al.
Published: (2025)
by: Shi, Diyuan, et al.
Published: (2025)
Dynamic Adaptive Legged Locomotion Policy via Decoupling Reaction Force Control and Gait Control
by: Wang, Renjie, et al.
Published: (2025)
by: Wang, Renjie, et al.
Published: (2025)
Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)
by: Kim, Woo Kyung, et al.
Published: (2024)
COSBO: Conservative Offline Simulation-Based Policy Optimization
by: Kargar, Eshagh, et al.
Published: (2024)
by: Kargar, Eshagh, et al.
Published: (2024)
Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling
by: Gong, Zhefei, et al.
Published: (2025)
by: Gong, Zhefei, et al.
Published: (2025)
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)
by: Alles, Marvin, et al.
Published: (2025)
CaRL: Learning Scalable Planning Policies with Simple Rewards
by: Jaeger, Bernhard, et al.
Published: (2025)
by: Jaeger, Bernhard, et al.
Published: (2025)
Learning Robotic Policy with Imagined Transition: Mitigating the Trade-off between Robustness and Optimality
by: Xiao, Wei, et al.
Published: (2025)
by: Xiao, Wei, et al.
Published: (2025)
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)
by: Nguyen, Thanh, et al.
Published: (2024)
Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control
by: Ayabe, Shingo, et al.
Published: (2025)
by: Ayabe, Shingo, et al.
Published: (2025)
Adaptive Diffusion Policy Optimization for Robotic Manipulation
by: Jiang, Huiyun, et al.
Published: (2025)
by: Jiang, Huiyun, et al.
Published: (2025)
RoboAct-CLIP: Video-Driven Pre-training of Atomic Action Understanding for Robotics
by: Zhang, Zhiyuan, et al.
Published: (2025)
by: Zhang, Zhiyuan, 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)
Similar Items
-
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025) -
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025) -
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
by: Rafailov, Rafael, et al.
Published: (2024) -
Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph
by: Zhang, Hongyin, et al.
Published: (2023) -
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
by: Zhang, Ziqi, et al.
Published: (2023)