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 255 篇,第 4 / 6 页
- NeurIPS 2025Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
- NeurIPS 2025Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game
- NeurIPS 2025Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
- NeurIPS 2025Multi-agent Markov Entanglement
- NeurIPS 2025Multi-Agent Reinforcement Learning with Communication-Constrained Priors
- NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
- NeurIPS 2025Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
- NeurIPS 2025Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
- NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
- NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
- NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
- NeurIPS 2025Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
- NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
- NeurIPS 2025Multi-Token Prediction Needs Registers
- NeurIPS 2025Multi-View Oriented GPLVM: Expressiveness and Efficiency
- NeurIPS 2025Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
- NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
- NeurIPS 2025MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
- NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
- NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
- NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
- NeurIPS 2025On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
- NeurIPS 2025On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
- NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
- NeurIPS 2025Online Multi-Class Selection with Group Fairness Guarantee
- NeurIPS 2025OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
- NeurIPS 2025Opinion Maximization in Social Networks by Modifying Internal Opinions
- NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
- NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
- NeurIPS 2025Optimism Without Regularization: Constant Regret in Zero-Sum Games
- NeurIPS 2025OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
- NeurIPS 2025Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
- NeurIPS 2025OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
- NeurIPS 2025OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
- NeurIPS 2025PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
- NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
- NeurIPS 2025Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
- NeurIPS 2025PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
- NeurIPS 2025Planning with Quantized Opponent Models
- NeurIPS 2025PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
- NeurIPS 2025Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
- NeurIPS 2025Probably Approximately Precision and Recall Learning
- NeurIPS 2025Protocols for Verifying Smooth Strategies in Bandits and Games
- NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
- NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
- NeurIPS 2025R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
- NeurIPS 2025Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
- NeurIPS 2025Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
- NeurIPS 2025Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
- NeurIPS 2025Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
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。