AI Agents papers, 2023–2026

Key findings

• AI Agents went from 170 papers in 2023 to 1,983 in 2026, roughly 12x in three years.
• NeurIPS publishes the most AI Agents work: 1,317 papers from 2023 to 2026, 40% of the four-venue total.
• The fastest-growing overlap is with LLM Benchmarks: papers tagged with both rose from 1 in 2023 to 116 in 2026.
• Among the 4 topics under Trending Systems, it ranks #2 by 2026 paper count; the fastest grower in the group, World Models, is up 11x versus 12x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
• ICML 2026$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
• ICLR 2026A Benchmark for Deep Information Synthesis
• CVPR 20263D-VCD Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive
• NeurIPS 20254KAgent: Agentic Any Image to 4K Super-Resolution
• ICML 2025A Unified Approach to Routing and Cascading for LLMs
• ICLR 2025A Generalist Hanabi Agent
• CVPR 2025Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration
• NeurIPS 2024AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
• ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
• ICLR 2024A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
• CVPR 2024Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction
• NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
• ICML 2023A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
• ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
• CVPR 2023Behavioral Analysis of Vision-and-Language Navigation Agents
• NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
• ICML 2026$\tau$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
• ICLR 2026A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
• CVPR 2026A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning

All AI Agents papers

170 papers, page 1 of 4

1. CVPR 2023Behavioral Analysis of Vision-and-Language Navigation Agents
2. CVPR 2023Collaboration Helps Camera Overtake LiDAR in 3D Detection
3. CVPR 2023D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
4. CVPR 2023EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning
5. CVPR 2023FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs
6. CVPR 2023IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction
7. CVPR 2023MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
8. CVPR 2023Multi-Agent Automated Machine Learning
9. CVPR 2023PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
10. CVPR 2023Query-Centric Trajectory Prediction
11. CVPR 2023Revisiting the P3P Problem
12. CVPR 2023StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments
13. CVPR 2023ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries
14. ICLR 2023$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
15. ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
16. ICLR 2023Adversarial Diversity in Hanabi
17. ICLR 2023Asynchronous Gradient Play in Zero-Sum Multi-agent Games
18. ICLR 2023Broken Neural Scaling Laws
19. ICLR 2023Can We Find Nash Equilibria at a Linear Rate in Markov Games?
20. ICLR 2023Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
21. ICLR 2023Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
22. ICLR 2023Collaborative Pure Exploration in Kernel Bandit
23. ICLR 2023Competitive Physics Informed Networks
24. ICLR 2023Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
25. ICLR 2023Does Zero-Shot Reinforcement Learning Exist?
26. ICLR 2023Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
27. ICLR 2023Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
28. ICLR 2023Generating Diverse Cooperative Agents by Learning Incompatible Policies
29. ICLR 2023GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
30. ICLR 2023Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
31. ICLR 2023Learning Rationalizable Equilibria in Multiplayer Games
32. ICLR 2023Learning to Extrapolate: A Transductive Approach
33. ICLR 2023Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
34. ICLR 2023MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
35. ICLR 2023MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
36. ICLR 2023Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
37. ICLR 2023Minimax Optimal Kernel Operator Learning via Multilevel Training
38. ICLR 2023More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
39. ICLR 2023Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
40. ICLR 2023Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
41. ICLR 2023Order Matters: Agent-by-agent Policy Optimization
42. ICLR 2023Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
43. ICLR 2023ReAct: Synergizing Reasoning and Acting in Language Models
44. ICLR 2023Representation Learning for Low-rank General-sum Markov Games
45. ICLR 2023Revisiting Populations in multi-agent Communication
46. ICLR 2023RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
47. ICLR 2023Scaling Laws for a Multi-Agent Reinforcement Learning Model
48. ICLR 2023Solving Continuous Control via Q-learning
49. ICLR 2023Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
50. ICLR 2023Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks

FAQ

How many AI Agents papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,266 in total: 170 in 2023, 329 in 2024, 784 in 2025, 1,983 in 2026.

How many AI Agents papers are at NeurIPS 2026?

NeurIPS 2026 has 729 AI Agents papers, versus 362 the year before.

How many AI Agents papers are at ICLR 2026?

ICLR 2026 has 500 AI Agents papers, versus 204 the year before.

How many AI Agents papers are at ICML 2026?

ICML 2026 has 640 AI Agents papers, versus 178 the year before.

How many AI Agents papers are at CVPR 2026?

CVPR 2026 has 114 AI Agents papers, versus 40 the year before.

Which conference publishes the most AI Agents papers?

NeurIPS, with 1,317 papers from 2023 to 2026.