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

Papers per year

Papers per venue

Counts by year and venue

AI Agents papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202376404113170
2024150738818329
202536220417840784
20267295006401141,983

Representative papers

Spread across years and venues so every edition shows up

All AI Agents papers

170 papers, page 2 of 4

  1. ICLR 2023The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
  2. ICLR 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
  3. ICLR 2023Truthful Self-Play
  4. ICML 2023A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
  5. ICML 2023An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
  6. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
  7. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
  8. ICML 2023Complementary Attention for Multi-Agent Reinforcement Learning
  9. ICML 2023Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
  10. ICML 2023Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
  11. ICML 2023Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
  12. ICML 2023DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  13. ICML 2023DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
  14. ICML 2023DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
  15. ICML 2023Emergent Agentic Transformer from Chain of Hindsight Experience
  16. ICML 2023Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
  17. ICML 2023K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
  18. ICML 2023Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
  19. ICML 2023Learning Intuitive Policies Using Action Features
  20. ICML 2023Learning to Decouple Complex Systems
  21. ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
  22. ICML 2023Learning to Optimize Differentiable Games
  23. ICML 2023Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
  24. ICML 2023MANSA: Learning Fast and Slow in Multi-Agent Systems
  25. ICML 2023Motion Question Answering via Modular Motion Programs
  26. ICML 2023Multi-Agent Best Arm Identification with Private Communications
  27. ICML 2023Multi-Agent Learning from Learners
  28. ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
  29. ICML 2023Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
  30. ICML 2023Multi-channel Autobidding with Budget and ROI Constraints
  31. ICML 2023N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
  32. ICML 2023Network Effects in Performative Prediction Games
  33. ICML 2023Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
  34. ICML 2023Offline Learning in Markov Games with General Function Approximation
  35. ICML 2023One-Step Estimator for Permuted Sparse Recovery
  36. ICML 2023Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
  37. ICML 2023RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
  38. ICML 2023Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
  39. ICML 2023Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach
  40. ICML 2023System Identification of Neural Systems: If We Got It Right, Would We Know?
  41. ICML 2023The Ideal Continual Learner: An Agent That Never Forgets
  42. ICML 2023The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
  43. ICML 2023The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
  44. ICML 2023What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
  45. NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
  46. NeurIPS 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
  47. NeurIPS 2023Alexa Arena: A User-Centric Interactive Platform for Embodied AI
  48. NeurIPS 2023AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
  49. NeurIPS 2023AndroidInTheWild: A Large-Scale Dataset For Android Device Control
  50. 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.

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