Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Mu, Zhancun, Zhao, Guangyu, Zhong, Yiwu, Zhang, Chi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Contextual Combinatorial Bandit Approach to Negotiation
by: Li, Yexin, et al.
Published: (2024)
by: Li, Yexin, et al.
Published: (2024)
DeFlow: Decoupling Manifold Modeling and Value Maximization for Offline Policy Extraction
by: Mu, Zhancun
Published: (2026)
by: Mu, Zhancun
Published: (2026)
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025)
by: Gao, Yunkai, et al.
Published: (2025)
SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026)
by: Xu, Zhongling, et al.
Published: (2026)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2025)
by: Han, Xinchen, et al.
Published: (2025)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023)
by: Yang, Rui, et al.
Published: (2023)
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
by: Zhao, Guangyu, et al.
Published: (2024)
by: Zhao, Guangyu, et al.
Published: (2024)
Offline Reinforcement Learning with Imbalanced Datasets
by: Jiang, Li, et al.
Published: (2023)
by: Jiang, Li, et al.
Published: (2023)
ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization
by: Chen, Yifei, et al.
Published: (2026)
by: Chen, Yifei, et al.
Published: (2026)
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)
Solving Continual Offline Reinforcement Learning with Decision Transformer
by: Huang, Kaixin, et al.
Published: (2024)
by: Huang, Kaixin, et al.
Published: (2024)
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
by: Tu, Songjun, et al.
Published: (2024)
by: Tu, Songjun, et al.
Published: (2024)
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
by: Chen, Xuyang, et al.
Published: (2025)
by: Chen, Xuyang, et al.
Published: (2025)
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
by: van Remmerden, Jesse, et al.
Published: (2024)
by: van Remmerden, Jesse, et al.
Published: (2024)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
Preference Elicitation for Offline Reinforcement Learning
by: Pace, Alizée, et al.
Published: (2024)
by: Pace, Alizée, et al.
Published: (2024)
Simple Ingredients for Offline Reinforcement Learning
by: Cetin, Edoardo, et al.
Published: (2024)
by: Cetin, Edoardo, et al.
Published: (2024)
State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)
by: Hepburn, Charles A., et al.
Published: (2024)
The Generalization Gap in Offline Reinforcement Learning
by: Mediratta, Ishita, et al.
Published: (2023)
by: Mediratta, Ishita, et al.
Published: (2023)
Dataset Distillation for Offline Reinforcement Learning
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
Offline Reinforcement Learning with Imputed Rewards
by: Romeo, Carlo, et al.
Published: (2024)
by: Romeo, Carlo, et al.
Published: (2024)
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)
by: Zhang, Tianle, et al.
Published: (2024)
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)
by: Gao, Chen-Xiao, et al.
Published: (2024)
Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)
by: Xia, Zhangjie, et al.
Published: (2026)
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)
by: Mao, Liyuan, et al.
Published: (2024)
SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
by: Zhang, Liyu, et al.
Published: (2024)
by: Zhang, Liyu, et al.
Published: (2024)
ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment
by: Cai, Shaofei, et al.
Published: (2025)
by: Cai, Shaofei, et al.
Published: (2025)
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
by: Ahn, Woo-Jin, et al.
Published: (2025)
by: Ahn, Woo-Jin, et al.
Published: (2025)
In-Context Compositional Q-Learning for Offline Reinforcement Learning
by: Xu, Qiushui, et al.
Published: (2025)
by: Xu, Qiushui, et al.
Published: (2025)
Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)
by: Liu, Wenhui, et al.
Published: (2025)
Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)
by: Lyu, Jiafei, et al.
Published: (2022)
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
by: Qiao, Nan, et al.
Published: (2025)
by: Qiao, Nan, et al.
Published: (2025)
Abstraction for Offline Goal-Conditioned Reinforcement Learning
by: Wibault, Clarisse, et al.
Published: (2026)
by: Wibault, Clarisse, et al.
Published: (2026)
Offline Reinforcement Learning with Universal Horizon Models
by: Chung, Hojun, et al.
Published: (2026)
by: Chung, Hojun, et al.
Published: (2026)
Flow Actor-Critic for Offline Reinforcement Learning
by: Chae, Jongseong, et al.
Published: (2026)
by: Chae, Jongseong, et al.
Published: (2026)
Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)
by: Ma, Xiao, et al.
Published: (2022)
Percentile Criterion Optimization in Offline Reinforcement Learning
by: Lobo, Elita A., et al.
Published: (2024)
by: Lobo, Elita A., et al.
Published: (2024)
Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)
by: Feng, Xinsong, et al.
Published: (2025)
Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)
by: Srinivasan, Padmanaba, et al.
Published: (2025)
Similar Items
-
A Contextual Combinatorial Bandit Approach to Negotiation
by: Li, Yexin, et al.
Published: (2024) -
DeFlow: Decoupling Manifold Modeling and Value Maximization for Offline Policy Extraction
by: Mu, Zhancun
Published: (2026) -
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025) -
SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026) -
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)