多智能体 RL论文趋势 2023–2026
博弈与 MARL
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 2,126 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 88 | 37 | 80 | 106 | 311 |
| 2024 | 147 | 39 | 82 | 105 | 373 |
| 2025 | 255 | 91 | 115 | 113 | 574 |
| 2026 | 319 | 153 | 224 | 172 | 868 |
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 809 篇,第 4 / 17 页
- NeurIPS 2026Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems
- NeurIPS 2026Market-Based Runtime Resource Allocation for LLM Multi-Agent Systems
- NeurIPS 2026MASTARS: Multi-Agent Sequential Trajectory Augmentation with Return-Conditioned Subgoals
- NeurIPS 2026MC-H: Multi-Granularity Clustering with Hyperspherical Determinantal Point Process
- NeurIPS 2026MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages
- NeurIPS 2026MCAS: Signal-Processing-Based Multi-View Contrastive Learning for Acoustic Sensing
- NeurIPS 2026MemContract: Contract-Sensitive Evaluation for Mutable Agent Memory
- NeurIPS 2026MEME: Multi-Entity & Evolving Memory Evaluation
- NeurIPS 2026MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging
- NeurIPS 2026Mental-Models for Multi-Agent Systems
- NeurIPS 2026MGMem: An Efficient, Deterministic, and Provenance-Preserving Framework for Long-Horizon Agent Memory
- NeurIPS 2026MHWA: Multi-timescale Hierarchical World-Action Model
- NeurIPS 2026MICE: Multi-animal Interaction Context Encoder — A Hierarchical Foundation Model for Mouse Behavior
- NeurIPS 2026MindGames:A Multi-Agent Benchmark and Trajectory Dataset for Evaluating Social and Strategic Reasoning in LLMs
- NeurIPS 2026MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support
- NeurIPS 2026Mitigating Retaliatory Algorithmic Collusion in Repeated Games
- NeurIPS 2026MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation
- NeurIPS 2026Modelling Opinion Dynamics at Scale with Deep MARL
- NeurIPS 2026Monotone Inclusion Approach to Weakly Monotone Discrete-Time Finite-Horizon Mean-Field Games
- NeurIPS 2026MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer
- NeurIPS 2026MSAR: Next-Scale Autoregressive Forecasting for Time Series via Modular Multi-Scale Decoupling
- NeurIPS 2026MSR-3D: Multi-Mode Semantic Representation for Open-Vocabulary 3D Scene Understanding
- NeurIPS 2026Multi-agent Collaboration with State Management
- NeurIPS 2026Multi-Agent Coordination via Support-Preserving Distillation
- NeurIPS 2026Multi-Armed Bandits With Best-Action Queries
- NeurIPS 2026Multi-Constrained Randomized Smoothing Certificates
- NeurIPS 2026Multi-Environment POMDPs with Finite-Horizon Objectives
- NeurIPS 2026Multi-Nonsmooth-Nonconvex-Objective Optimization
- NeurIPS 2026Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-Site Wearables
- NeurIPS 2026Multi-Stage Planning from Single-Stage Data: Reinforcement Learning Helps Composition but Requires Anchoring
- NeurIPS 2026Multi-step Consistency Models: A Complete Error Theory and Optimal Step Selection
- NeurIPS 2026Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards
- NeurIPS 2026Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
- NeurIPS 2026MUSS: A Multi-scale and Sequence-based Model for Single-cell Gene Regulation
- NeurIPS 2026MvFFN: Multi-view Floor-Plan Feed-Forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
- NeurIPS 2026NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
- NeurIPS 2026Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
- NeurIPS 2026Near-Optimal Best-of-Both-Worlds Algorithms for Decoupled Exploration and Exploitation in Multi-armed Bandits
- NeurIPS 2026Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions
- NeurIPS 2026Near-Optimal Stochastic Linear Bandits with Delay
- NeurIPS 2026Network Intervention by Polling Strategic Agents
- NeurIPS 2026Noise-Level KL Rates for Multi-Marginal Schrödinger Bridge Surrogates
- NeurIPS 2026Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems
- NeurIPS 2026OmniMemBench: Towards Scalable Evaluation of Long-Term Omni-Modal Agent Memory
- NeurIPS 2026On the Impact of Side-Information in Bandit Learning: More is Not Always Merrier
- NeurIPS 2026On the Information Loss of Multi-Token Prediction: Origin and Solution
- NeurIPS 2026On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization
- NeurIPS 2026OpenClawBench: Benchmarking Process-side Anomalies in Real-world Agent Execution Trajectories
- NeurIPS 2026Optimal scaling laws in learning hierarchical multi-index models
- NeurIPS 2026Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查多智能体 RL在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "multi-agent-rl"}
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。