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 80 篇，第 1 / 2 页

1. ICML 2023A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
2. ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
3. ICML 2023A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
4. ICML 2023A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
5. ICML 2023An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
6. ICML 2023Atari-5: Distilling the Arcade Learning Environment down to Five Games
7. ICML 2023Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
8. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
9. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
10. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
11. ICML 2023Complementary Attention for Multi-Agent Reinforcement Learning
12. ICML 2023Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
13. ICML 2023Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
14. ICML 2023Cut your Losses with Squentropy
15. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
16. ICML 2023DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
17. ICML 2023DRew: Dynamically Rewired Message Passing with Delay
18. ICML 2023DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
19. ICML 2023Efficient RL via Disentangled Environment and Agent Representations
20. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
21. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
22. ICML 2023Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
23. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
24. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
25. ICML 2023Hierarchies of Reward Machines
26. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
27. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
28. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
29. ICML 2023K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
30. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
31. ICML 2023Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
32. ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
33. ICML 2023Learning to Optimize Differentiable Games
34. ICML 2023Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
35. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
36. ICML 2023MANSA: Learning Fast and Slow in Multi-Agent Systems
37. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
38. ICML 2023Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
39. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
40. ICML 2023Multi-Agent Best Arm Identification with Private Communications
41. ICML 2023Multi-Agent Learning from Learners
42. ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
43. ICML 2023Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
44. ICML 2023Multi-channel Autobidding with Budget and ROI Constraints
45. ICML 2023Multi-class Graph Clustering via Approximated Effective $p$-Resistance
46. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
47. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
48. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
49. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
50. ICML 2023Multi-Objective GFlowNets

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。