Monte Carlo Tree Search papers, 2023–2026

Key findings

• Monte Carlo Tree Search went from 115 papers in 2023 to 278 in 2026, roughly 2.4x in three years.
• NeurIPS publishes the most Monte Carlo Tree Search work: 302 papers from 2023 to 2026, 39% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 1 in 2023 to 26 in 2026.
• Among the 5 topics under Games and Planning, it ranks #3 by 2026 paper count; the fastest grower in the group, Classical Planning, is up 3.3x versus 2.4x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Regularization-Based Approach to Public Belief State Search for Adversarial Games
• ICML 2026$\alpha$-PFN: Fast Entropy Search via In-Context Learning
• ICLR 2026Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
• CVPR 2026DRS-GUI Dynamic Region Search for Training-Free GUI Grounding
• NeurIPS 2025A Single-Swap Local Search Algorithm for k-Means of Lines
• ICML 2025Accelerating Large Language Model Reasoning via Speculative Search
• ICLR 2025Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
• CVPR 2025DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
• NeurIPS 2024Speculative Monte-Carlo Tree Search
• ICML 2024Accelerated Speculative Sampling Based on Tree Monte Carlo
• ICLR 2024Chain of Log-Concave Markov Chains
• CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
• NeurIPS 2023Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
• ICML 2023A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
• ICLR 2023A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
• CVPR 2023Bridging Search Region Interaction With Template for RGB-T Tracking
• NeurIPS 2026A Revisit of Hamiltonian Monte Carlo Efficiency on Bayesian Neural Networks
• ICML 2026A Bi-metric Framework for Efficient Nearest Neighbor Search
• ICLR 2026Dr.LLM: Dynamic Layer Routing in LLMs
• CVPR 2026UAST Unified Active Search and Tracking for Arbitrary Targets with

All Monte Carlo Tree Search papers

773 papers, page 11 of 16

501. NeurIPS 2025Traversal Verification for Speculative Tree Decoding
502. NeurIPS 2025Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
503. NeurIPS 2025Tree of Preferences for Diversified Recommendation
504. NeurIPS 2025Tree-Based Premise Selection for Lean4
505. NeurIPS 2025Tree-Sliced Entropy Partial Transport
506. NeurIPS 2025TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
507. NeurIPS 2025TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
508. NeurIPS 2025TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
509. NeurIPS 2025Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
510. NeurIPS 2025Uncertainty-Guided Exploration for Efficient AlphaZero Training
511. NeurIPS 2025Variational Polya Tree
512. NeurIPS 2025We Should Chart an Atlas of All the World's Models
513. NeurIPS 2025Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
514. NeurIPS 2025Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
515. CVPR 2024Accelerating Neural Field Training via Soft Mining
516. CVPR 2024AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
517. CVPR 2024Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
518. CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
519. CVPR 2024In Search of a Data Transformation That Accelerates Neural Field Training
520. CVPR 2024Insights from the Use of Previously Unseen Neural Architecture Search Datasets
521. CVPR 2024KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
522. CVPR 2024RTracker: Recoverable Tracking via PN Tree Structured Memory
523. CVPR 2024SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
524. CVPR 2024Towards Accurate and Robust Architectures via Neural Architecture Search
525. ICLR 2024ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
526. ICLR 2024ARGS: Alignment as Reward-Guided Search
527. ICLR 2024Chain of Log-Concave Markov Chains
528. ICLR 2024Data Debugging with Shapley Importance over Machine Learning Pipelines
529. ICLR 2024Effective and Efficient Federated Tree Learning on Hybrid Data
530. ICLR 2024Fast Hyperboloid Decision Tree Algorithms
531. ICLR 2024Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
532. ICLR 2024Fiber Monte Carlo
533. ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
534. ICLR 2024GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
535. ICLR 2024Improving protein optimization with smoothed fitness landscapes
536. ICLR 2024Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
537. ICLR 2024Local Search GFlowNets
538. ICLR 2024Masked Distillation Advances Self-Supervised Transformer Architecture Search
539. ICLR 2024Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
540. ICLR 2024Neural Fine-Tuning Search for Few-Shot Learning
541. ICLR 2024PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
542. ICLR 2024Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
543. ICLR 2024Quasi-Monte Carlo for 3D Sliced Wasserstein
544. ICLR 2024Reinforcement Symbolic Regression Machine
545. ICLR 2024Repelling Random Walks
546. ICLR 2024Reverse Diffusion Monte Carlo
547. ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
548. ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
549. ICLR 2024SEABO: A Simple Search-Based Method for Offline Imitation Learning
550. ICLR 2024Sliced Wasserstein Estimation with Control Variates

FAQ

How many Monte Carlo Tree Search papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

773 in total: 115 in 2023, 144 in 2024, 236 in 2025, 278 in 2026.

How many Monte Carlo Tree Search papers are at NeurIPS 2026?

NeurIPS 2026 has 99 Monte Carlo Tree Search papers, versus 100 the year before.

How many Monte Carlo Tree Search papers are at ICLR 2026?

ICLR 2026 has 60 Monte Carlo Tree Search papers, versus 49 the year before.

How many Monte Carlo Tree Search papers are at ICML 2026?

ICML 2026 has 105 Monte Carlo Tree Search papers, versus 75 the year before.

How many Monte Carlo Tree Search papers are at CVPR 2026?

CVPR 2026 has 14 Monte Carlo Tree Search papers, versus 12 the year before.

Which conference publishes the most Monte Carlo Tree Search papers?

NeurIPS, with 302 papers from 2023 to 2026.