AI Agents papers, 2023–2026
Tool-using, multi-step autonomous LLM and VLM agent systems
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,266 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 76 | 40 | 41 | 13 | 170 |
| 2024 | 150 | 73 | 88 | 18 | 329 |
| 2025 | 362 | 204 | 178 | 40 | 784 |
| 2026 | 729 | 500 | 640 | 114 | 1,983 |
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 2 of 4
- ICLR 2023The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
- ICLR 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
- ICLR 2023Truthful Self-Play
- ICML 2023A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
- ICML 2023An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
- ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
- ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
- ICML 2023Complementary Attention for Multi-Agent Reinforcement Learning
- ICML 2023Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
- ICML 2023Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
- ICML 2023Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
- ICML 2023DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
- ICML 2023DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
- ICML 2023DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
- ICML 2023Emergent Agentic Transformer from Chain of Hindsight Experience
- ICML 2023Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
- ICML 2023K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
- ICML 2023Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
- ICML 2023Learning Intuitive Policies Using Action Features
- ICML 2023Learning to Decouple Complex Systems
- ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
- ICML 2023Learning to Optimize Differentiable Games
- ICML 2023Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
- ICML 2023MANSA: Learning Fast and Slow in Multi-Agent Systems
- ICML 2023Motion Question Answering via Modular Motion Programs
- ICML 2023Multi-Agent Best Arm Identification with Private Communications
- ICML 2023Multi-Agent Learning from Learners
- ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
- ICML 2023Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
- ICML 2023Multi-channel Autobidding with Budget and ROI Constraints
- ICML 2023N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
- ICML 2023Network Effects in Performative Prediction Games
- ICML 2023Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
- ICML 2023Offline Learning in Markov Games with General Function Approximation
- ICML 2023One-Step Estimator for Permuted Sparse Recovery
- ICML 2023Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
- ICML 2023RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
- ICML 2023Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
- ICML 2023Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach
- ICML 2023System Identification of Neural Systems: If We Got It Right, Would We Know?
- ICML 2023The Ideal Continual Learner: An Agent That Never Forgets
- ICML 2023The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
- ICML 2023The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
- ICML 2023What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
- NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
- NeurIPS 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
- NeurIPS 2023Alexa Arena: A User-Centric Interactive Platform for Embodied AI
- NeurIPS 2023AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
- NeurIPS 2023AndroidInTheWild: A Large-Scale Dataset For Android Device Control
- NeurIPS 2023Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
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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.