Offline multi-agent RL
Key facts. Offline multi-agent RL: 59 papers on arXiv since 2021 (data through 7 Oct 2026). 18 of its 59 mapped papers (31%) cite “Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning” (2021, arXiv 2106.03400). 16 of its 59 mapped papers (27%) cite “Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification” (2021, arXiv 2111.11188). 2 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
2 new since 17 Sep
Foundations
Most cited by papers here
- Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning2021cited by 18 here
- Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification2021cited by 16 here
- A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem2023cited by 7 here
- MADiff: Offline Multi-agent Learning with Diffusion Models2023cited by 7 here
- Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization2023cited by 7 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2019An Optimistic Perspective on Offline Reinforcement Learningcited by 7 here
- 2019Behavior Regularized Offline Reinforcement Learningcited by 9 here
- 2020D4RL: Datasets for Deep Data-Driven Reinforcement Learningcited by 12 here
- 2020Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problemscited by 25 here
- 2020Conservative Q-Learning for Offline Reinforcement Learningcited by 28 here
- 2021Decision Transformer: Reinforcement Learning via Sequence Modelingcited by 11 here
- 2021A Minimalist Approach to Offline Reinforcement Learningcited by 9 here
- 2021Offline Reinforcement Learning with Implicit Q-Learningcited by 17 here
- 2021Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectificationcited by 16 here
- 2023A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problemcited by 7 here
- 2024Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learningcited by 4 here
13 more it builds on, not in this chain
- 2020MOPO: Model-based Offline Policy Optimizationcited by 6 here
- 2020Critic Regularized Regressioncited by 4 here
- 2021Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learningcited by 18 here
- 2021Constraints Penalized Q-learning for Safe Offline Reinforcement Learningcited by 4 here
- 2022A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problemscited by 6 here
- 2022Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learningcited by 5 here
- 2023MADiff: Offline Multi-agent Learning with Diffusion Modelscited by 7 here
- 2023Improving Generalization and Data Efficiency with Diffusion in Offline Multi-agent RLcited by 4 here
- 2023Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizationcited by 7 here
- 2023Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learningcited by 6 here
- 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimationcited by 5 here
- 2023Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasetscited by 7 here
- 2024Coordination Failure in Cooperative Offline MARLcited by 4 here
The 24 most cited of 154.
Browse
30 of 59, ranked 6–35
- 6Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets20237
- 7AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation20235
- 8Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning20244
- 9Coordination Failure in Cooperative Offline MARL20244
- 10Improving Generalization and Data Efficiency with Diffusion in Offline Multi-agent RL20234
- 11An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management20253
- 12Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation20243
- 13Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization20243
- 14Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning20223
- 15ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization20242
All 30
- 16Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation20242
- 17Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization20232
- 18Advancing RAN Slicing with Offline Reinforcement Learning20232
- 19Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning20251
- 20Offline Reinforcement Learning for Mobility Robustness Optimization20251
- 21OM2P: Offline Multi-Agent Mean-Flow Policy20251
- 22Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning20241
- 23Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning20241
- 24Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration20241
- 25Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning20231
- 26Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning20231
- 27Offline to Online Learning for Real-Time Bandwidth Estimation20231
- 28MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment20231
- 29Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks20211
- 30Offline Multi-Agent Reinforcement Learning for 6G Communications: Fundamentals, Applications and Future Directions20260
- 31Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning20260
- 32Hybrid Orchestration of Edge AI and Microservices via Graph-based Self-Imitation Learning20260
- 33Selecting Offline Reinforcement Learning Algorithms for Stochastic Network Control20260
- 34A Recipe for Stable Offline Multi-agent Reinforcement Learning20260
- 35Learning Partial Action Replacement in Offline MARL20260