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 12 of 16

551. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
552. ICLR 2024ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
553. ICLR 2024Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
554. ICLR 2024Transport meets Variational Inference: Controlled Monte Carlo Diffusions
555. ICLR 2024Tree Cross Attention
556. ICLR 2024Tree Search-Based Policy Optimization under Stochastic Execution Delay
557. ICLR 2024Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
558. ICLR 2024UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
559. ICML 2024A Bayesian Approach to Online Planning
560. ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
561. ICML 2024Accelerated Speculative Sampling Based on Tree Monte Carlo
562. ICML 2024Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
563. ICML 2024Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
564. ICML 2024AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
565. ICML 2024Approximate Nearest Neighbor Search with Window Filters
566. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
567. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
568. ICML 2024Contrastive Predict-and-Search for Mixed Integer Linear Programs
569. ICML 2024Debiased Distribution Compression
570. ICML 2024Demystifying SGD with Doubly Stochastic Gradients
571. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
572. ICML 2024Diffusive Gibbs Sampling
573. ICML 2024Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
574. ICML 2024Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
575. ICML 2024EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
576. ICML 2024Encodings for Prediction-based Neural Architecture Search
577. ICML 2024EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
578. ICML 2024Faster Maximum Inner Product Search in High Dimensions
579. ICML 2024Integrated Hardware Architecture and Device Placement Search
580. ICML 2024Iterative Search Attribution for Deep Neural Networks
581. ICML 2024Kernel Semi-Implicit Variational Inference
582. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
583. ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
584. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
585. ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
586. ICML 2024Online Variational Sequential Monte Carlo
587. ICML 2024Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
588. ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
589. ICML 2024Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
590. ICML 2024Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
591. ICML 2024Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
592. ICML 2024Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
593. ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
594. ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
595. ICML 2024Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
596. ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
597. ICML 2024Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
598. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
599. ICML 2024tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
600. NeurIPS 20243D Gaussian Splatting as Markov Chain Monte Carlo

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.