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

每年论文数

各会议论文数

按年份和会议统计

多智能体 RL论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023883780106311
20241473982105373
202525591115113574
2026319153224172868

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

全部多智能体 RL论文

共 501 篇,第 4 / 11 页

  1. ICML 2026Multi-Adapter Representation Interventions via Energy Calibration
  2. ICML 2026Multi-agent imitation learning with function approximation: linear Markov games and beyond
  3. ICML 2026Multi-Agent Reinforcement Learning with Submodular Reward
  4. ICML 2026Multi-Agent Teams Hold Experts Back
  5. ICML 2026Multi-Distribution Robust Conformal Prediction
  6. ICML 2026Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
  7. ICML 2026Multi-marginal temporal Schrödinger Bridge Matching from unpaired data
  8. ICML 2026Multi-scale Explainer for Graph Neural Networks
  9. ICML 2026Multi-Task Bayesian In-Context Learning
  10. ICML 2026Multi-timescale Reinforcement Learning by Value Reconstruction
  11. ICML 2026Multi-view Consistent Latent Action Learning for World Modeling and Control
  12. ICML 2026Multi-Way Representation Alignment
  13. ICML 2026Narrowing the ANN–SNN Gap for Continuous 1D Temporal Signal Classification with Multi-Scale Temporal Encoding and Sparsity-Regularized Transform Encoding
  14. ICML 2026Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
  15. ICML 2026Not All Prefills Are Equal: PPD Disaggregation for Multi-turn LLM Serving
  16. ICML 2026Offline Multi-agent Continual Cooperation via Skill Partition and Reuse
  17. ICML 2026Offline Two-Player Zero-Sum Markov Games with KL Regularization
  18. ICML 2026OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
  19. ICML 2026On Effectiveness and Efficiency of Agentic Tool-calling and RL Training
  20. ICML 2026One Coin Has Two Sides: Single Poistive Multi Label Learning from Salient Annotations
  21. ICML 2026Online Linear Programming for Multi-Objective Routing in LLM Serving
  22. ICML 2026Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
  23. ICML 2026Optimal Rates for Feasible Payoff Set Estimation in Games
  24. ICML 2026PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis
  25. ICML 2026Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
  26. ICML 2026PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts
  27. ICML 2026PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training
  28. ICML 2026Probability of Matching for Batch Multi-Objective Bayesian Optimization
  29. ICML 2026ProConMV: Provenance-Enabled Conceptual Framework for Interpretable Multi-View Diabetic Retinopathy Diagnosis
  30. ICML 2026Provably Convergent Actor-Critic for MARL through Risk-aversion
  31. ICML 2026RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
  32. ICML 2026Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
  33. ICML 2026Representational Similarity and Model Behavior in Multi-Agent Interaction
  34. ICML 2026Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
  35. ICML 2026Robust Signal Enhancement via Fractional Detail Views and Knowledge Guided Multi-view Fusion
  36. ICML 2026Role-Level Inductive Bias for Cross-Task Generalization in Multi-Agent Reinforcement Learning
  37. ICML 2026Scalable Traffic Signal Control with Shared Policy Framework
  38. ICML 2026ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
  39. ICML 2026ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management
  40. ICML 2026Scaling Small Agents Through Strategy Auctions
  41. ICML 2026SciAgentGym: Benchmarking Multi-Step Scientific Tool-Use in LLM Agents
  42. ICML 2026Secure Multi-agent Reinforcement Learning for Service Systems with Affinity and Byzantine Nodes: Stability Analysis and Protection Design
  43. ICML 2026Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation
  44. ICML 2026Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning
  45. ICML 2026Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
  46. ICML 2026StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
  47. ICML 2026Structured Multi-modal Graph Disentanglement for Psychiatric Diagnosis
  48. ICML 2026SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
  49. ICML 2026Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs
  50. ICML 2026T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic 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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

「博弈与规划」下的其他主题