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 2,126 篇,第 36 / 43 页
- NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
- NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
- NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
- NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
- NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
- NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
- NeurIPS 2024Multi-Head Mixture-of-Experts
- NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
- NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
- NeurIPS 2024Multi-Label Open Set Recognition
- NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
- NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
- NeurIPS 2024Multi-modal Transfer Learning between Biological Foundation Models
- NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
- NeurIPS 2024Multi-Object Hallucination in Vision Language Models
- NeurIPS 2024Multi-Reward Best Policy Identification
- NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
- NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
- NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
- NeurIPS 2024Multi-Winner Reconfiguration
- NeurIPS 2024MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding
- NeurIPS 2024MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
- NeurIPS 2024N-agent Ad Hoc Teamwork
- NeurIPS 2024Nimbus: Secure and Efficient Two-Party Inference for Transformers
- NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
- NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
- NeurIPS 2024Not so griddy: Internal representations of RNNs path integrating more than one agent
- NeurIPS 2024On the Comparison between Multi-modal and Single-modal Contrastive Learning
- NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
- NeurIPS 2024On Tractable $\Phi$-Equilibria in Non-Concave Games
- NeurIPS 2024Online Relational Inference for Evolving Multi-agent Interacting Systems
- NeurIPS 2024Opponent Modeling based on Subgoal Inference
- NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
- NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
- NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
- NeurIPS 2024Preference-based Pure Exploration
- NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
- NeurIPS 2024Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
- NeurIPS 2024Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
- NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
- NeurIPS 2024Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
- NeurIPS 2024Reflective Multi-Agent Collaboration based on Large Language Models
- NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
- NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
- NeurIPS 2024RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
- NeurIPS 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
- NeurIPS 2024Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
- NeurIPS 2024Safe Exploitative Play with Untrusted Type Beliefs
- NeurIPS 2024Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
- NeurIPS 2024Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
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。