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 115 篇,第 1 / 3 页
- ICML 2025A Classification View on Meta Learning Bandits
- ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
- ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
- ICML 2025Ad-Hoc Human-AI Coordination Challenge
- ICML 2025Adaptive Sample Sharing for Multi Agent Linear Bandits
- ICML 2025Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review
- ICML 2025Agent Workflow Memory
- ICML 2025Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
- ICML 2025An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
- ICML 2025Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?
- ICML 2025AssistanceZero: Scalably Solving Assistance Games
- ICML 2025Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
- ICML 2025AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
- ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
- ICML 2025Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
- ICML 2025Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
- ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
- ICML 2025Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
- ICML 2025Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark
- ICML 2025Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
- ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
- ICML 2025Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
- ICML 2025Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
- ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
- ICML 2025Core Knowledge Deficits in Multi-Modal Language Models
- ICML 2025Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
- ICML 2025Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
- ICML 2025Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
- ICML 2025Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
- ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
- ICML 2025DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
- ICML 2025Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
- ICML 2025DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation
- ICML 2025DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
- ICML 2025EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
- ICML 2025Efficient Federated Incomplete Multi-View Clustering
- ICML 2025EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
- ICML 2025EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
- ICML 2025Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
- ICML 2025EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
- ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
- ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
- ICML 2025Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
- ICML 2025From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium
- ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
- ICML 2025Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
- ICML 2025G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
- ICML 2025GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning
- ICML 2025GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
- ICML 2025How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
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。