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 868 篇,第 9 / 18 页
- ICML 2026EvoMAS: Heuristics in the Loop—Evolving Smarter Agentic Workflows
- ICML 2026Executable Agentic Memory for GUI Agent
- ICML 2026Exploration-free Algorithms for Multi-group Mean Estimation
- ICML 2026Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
- ICML 2026Fast and Expressive Multi-Byte Prediction with Probabilistic Circuits
- ICML 2026Federated Causal Inference on Multi-Site Observational Data via Propensity Score Aggregation
- ICML 2026Federated Multi-view Clustering for Remote Sensing Data
- ICML 2026FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data
- ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
- ICML 2026FIRE: Multi-Fidelity Regression with Distribution-Conditioned In-Context Learning Using Tabular Foundation Models
- ICML 2026Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
- ICML 2026FlowMAP: Flow Matching for Generalizable Agent Planning
- ICML 2026Focus and Dilution: The Multi-stage Learning Process of Attention
- ICML 2026From Interaction Trajectories to Prompt Rules: Credit Assignment for Multi-Agent Prompt Optimization
- ICML 2026FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
- ICML 2026GameDevBench: Evaluating Agentic Capabilities Through Game Development
- ICML 2026GFD-EMVC: Evolutionary Multi-View Classification with Label Noise via Gradient and Feature Dual-Perception
- ICML 2026GLEAN: Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
- ICML 2026Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
- ICML 2026Great Minds Think Alike: Contextual Tacit Communication for Decentralized LLM-Agent Cooperation
- ICML 2026GRPO-based Cluster Decision Agent for Unknown-$\boldsymbol{K}$ Multi-view Clustering
- ICML 2026HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
- ICML 2026Hierarchical Anchor Graph Learning for Multi-View Clustering
- ICML 2026Hierarchical Multi Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
- ICML 2026HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
- ICML 2026HiPER: Hierarchical Plan–Execute RL for Multi-Turn LLM Agents
- ICML 2026How Far Can LLM Agents Reason with Tables? Benchmarking Multi-Turn Agentic Table Question Answering in the Wild
- ICML 2026HPS: Hyperspherical Parameter Sharing for Efficient Multi-Agent Reinforcement Learning
- ICML 2026HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation
- ICML 2026Identifying dependent components from multi-domain linear mixtures
- ICML 2026IEC: When Information-Driven Exploration Meets Spectral Consensus via Primal–Dual Reward Regularization in Decentralized Multi-Agent RL
- ICML 2026Inference from Quantized Data via Normal Variance-Mean Mixtures
- ICML 2026InfoPO: Information-Driven Policy Optimization for User-Centric Agents
- ICML 2026InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
- ICML 2026Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
- ICML 2026Investigating Component Contributions in Multi-Agent ML Systems
- ICML 2026JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG
- ICML 2026Judgment Operators: A Composition-Invariant Substrate for Multi-Agent Action Spaces
- ICML 2026Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs
- ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
- ICML 2026Knothe-Rosenblatt Quantile Regression for Risk-sensitive Multi-objective Reinforcement Learning
- ICML 2026Large Language Model Agents Are Not Always Faithful Self-Evolvers
- ICML 2026Latent Collaboration in Multi-Agent Systems
- ICML 2026Learn to change the world: Multi-level reinforcement learning with model-changing actions
- ICML 2026Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
- ICML 2026Learning Generalized Label Distributions
- ICML 2026Learning Multi-Agent Coordination via Sheaf-ADMM
- ICML 2026Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis
- ICML 2026Learning Robust Multi-Agent Policies via Selective Adversarial Fault Induction
- ICML 2026Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
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。