多智能体 RL论文趋势 2023–2026

主要结论

• 多智能体 RL论文从 2023 年的 311 篇增长到 2026 年的 868 篇，三年间扩大到约 2.8 倍。
• NeurIPS 是发多智能体 RL论文最多的会议，2023–2026 年共 809 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 70 篇。
• 在「博弈与规划」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的经典规划是 3.3 倍，多智能体 RL是 2.8 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
• ICML 2026A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits
• ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
• CVPR 2026A Sanity Check for Multi-In-Domain Face Forgery Detection in the
• NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
• ICML 2025A Classification View on Meta Learning Bandits
• ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
• CVPR 2025All-Day Multi-Camera Multi-Target Tracking
• NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
• ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
• ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
• CVPR 2024DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
• NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
• ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
• ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
• CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
• NeurIPS 2026A Black-Box Reduction from Regret to Multi-Level Coverage
• ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
• ICLR 2026Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering
• CVPR 2026Anti-Degradation Lifelong Multi-View Clustering

全部多智能体 RL论文

共 37 篇，第 1 / 1 页

1. ICLR 2023$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
2. ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
3. ICLR 2023Adversarial Diversity in Hanabi
4. ICLR 2023Agent-based Graph Neural Networks
5. ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
6. ICLR 2023Asynchronous Gradient Play in Zero-Sum Multi-agent Games
7. ICLR 2023Can We Find Nash Equilibria at a Linear Rate in Markov Games?
8. ICLR 2023Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
9. ICLR 2023Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
10. ICLR 2023Collaborative Pure Exploration in Kernel Bandit
11. ICLR 2023Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
12. ICLR 2023Effects of Graph Convolutions in Multi-layer Networks
13. ICLR 2023Efficient Discrete Multi Marginal Optimal Transport Regularization
14. ICLR 2023Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
15. ICLR 2023Fast Nonlinear Vector Quantile Regression
16. ICLR 2023Generating Diverse Cooperative Agents by Learning Incompatible Policies
17. ICLR 2023GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
18. ICLR 2023Gradient Gating for Deep Multi-Rate Learning on Graphs
19. ICLR 2023Is a Caption Worth a Thousand Images? A Study on Representation Learning
20. ICLR 2023Learning multi-scale local conditional probability models of images
21. ICLR 2023MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
22. ICLR 2023MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
23. ICLR 2023More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
24. ICLR 2023Multi-level Protein Structure Pre-training via Prompt Learning
25. ICLR 2023Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
26. ICLR 2023Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
27. ICLR 2023Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
28. ICLR 2023Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
29. ICLR 2023Order Matters: Agent-by-agent Policy Optimization
30. ICLR 2023Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
31. ICLR 2023Revisiting Populations in multi-agent Communication
32. ICLR 2023RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
33. ICLR 2023Scaling Laws for a Multi-Agent Reinforcement Learning Model
34. ICLR 2023Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
35. ICLR 2023Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
36. ICLR 2023Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
37. ICLR 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective

常见问题

2023–2026 年四大会议一共有多少篇多智能体 RL论文？

共 2,126 篇，按年份分别是 2023 年 311 篇、2024 年 373 篇、2025 年 574 篇、2026 年 868 篇。

NeurIPS 2026 有多少篇多智能体 RL论文？

NeurIPS 2026 有 319 篇多智能体 RL论文，上一届是 255 篇。

ICLR 2026 有多少篇多智能体 RL论文？

ICLR 2026 有 153 篇多智能体 RL论文，上一届是 91 篇。

ICML 2026 有多少篇多智能体 RL论文？

ICML 2026 有 224 篇多智能体 RL论文，上一届是 115 篇。

CVPR 2026 有多少篇多智能体 RL论文？

CVPR 2026 有 172 篇多智能体 RL论文，上一届是 113 篇。

哪个会议的多智能体 RL论文最多？

NeurIPS，2023–2026 年共 809 篇。