A Recipe for Stable Offline Multi-agent Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Dongsu, Lee, Daehee, Zhang, Amy |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-agent Coordination via Flow Matching
by: Lee, Dongsu, et al.
Published: (2025)
by: Lee, Dongsu, et al.
Published: (2025)
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2025)
by: Lee, Dongsu, et al.
Published: (2025)
Unifying Agent Interaction and World Information for Multi-agent Coordination
by: Lee, Dongsu, et al.
Published: (2025)
by: Lee, Dongsu, et al.
Published: (2025)
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2024)
by: Lee, Dongsu, et al.
Published: (2024)
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)
by: Huang, Jianuo
Published: (2024)
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)
by: Song, Yeda, et al.
Published: (2024)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
by: Lee, Dongsu, et al.
Published: (2024)
by: Lee, Dongsu, et al.
Published: (2024)
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)
by: Pan, Minting, et al.
Published: (2023)
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, 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)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
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)
Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)
by: Springenberg, Jost Tobias, et al.
Published: (2024)
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)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, 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)
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)
by: Pan, Minting, et al.
Published: (2025)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, 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)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, 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)
Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)
by: Huang, Kevin, et al.
Published: (2025)
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)
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)
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)
by: Tang, Cheng, et al.
Published: (2024)
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
by: Chan, Bryan, et al.
Published: (2024)
by: Chan, Bryan, et al.
Published: (2024)
Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
by: Omura, Motoki, et al.
Published: (2025)
by: Omura, Motoki, 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)
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
by: Lee, Vint, et al.
Published: (2023)
by: Lee, Vint, et al.
Published: (2023)
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)
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
by: Petitbois, Mathieu, et al.
Published: (2026)
by: Petitbois, Mathieu, et al.
Published: (2026)
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
by: Venkataraman, Sreyas, et al.
Published: (2024)
by: Venkataraman, Sreyas, et al.
Published: (2024)
Similar Items
-
Multi-agent Coordination via Flow Matching
by: Lee, Dongsu, et al.
Published: (2025) -
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2025) -
Unifying Agent Interaction and World Information for Multi-agent Coordination
by: Lee, Dongsu, et al.
Published: (2025) -
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2024) -
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)