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 15 of 16

701. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
702. ICML 2023Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
703. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
704. ICML 2023Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
705. ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
706. ICML 2023Automatic Data Augmentation via Invariance-Constrained Learning
707. ICML 2023Beam Tree Recursive Cells
708. ICML 2023Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
709. ICML 2023Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
710. ICML 2023Differentiable Tree Operations Promote Compositional Generalization
711. ICML 2023Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
712. ICML 2023Extrapolated Random Tree for Regression
713. ICML 2023In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
714. ICML 2023Input uncertainty propagation through trained neural networks
715. ICML 2023Neural Markov Jump Processes
716. ICML 2023Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
717. ICML 2023On Computing Optimal Tree Ensembles
718. ICML 2023On Sampling with Approximate Transport Maps
719. ICML 2023Opponent-Limited Online Search for Imperfect Information Games
720. ICML 2023Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
721. ICML 2023QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
722. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
723. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
724. ICML 2023Scalable Safe Policy Improvement via Monte Carlo Tree Search
725. ICML 2023Sequential Monte Carlo Learning for Time Series Structure Discovery
726. ICML 2023Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
727. ICML 2023Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
728. ICML 2023Truncating Trajectories in Monte Carlo Reinforcement Learning
729. ICML 2023Vector-Valued Control Variates
730. NeurIPS 2023A Heavy-Tailed Algebra for Probabilistic Programming
731. NeurIPS 2023Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
732. NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
733. NeurIPS 2023An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
734. NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
735. NeurIPS 2023Contextual Stochastic Bilevel Optimization
736. NeurIPS 2023DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries
737. NeurIPS 2023Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
738. NeurIPS 2023EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis
739. NeurIPS 2023Empowering Convolutional Neural Nets with MetaSin Activation
740. NeurIPS 2023Energy-Based Sliced Wasserstein Distance
741. NeurIPS 2023FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
742. NeurIPS 2023Fitting trees to $\ell_1$-hyperbolic distances
743. NeurIPS 2023Game Solving with Online Fine-Tuning
744. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
745. NeurIPS 2023Hierarchical clustering with dot products recovers hidden tree structure
746. NeurIPS 2023History Filtering in Imperfect Information Games: Algorithms and Complexity
747. NeurIPS 2023Inferring the Future by Imagining the Past
748. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
749. NeurIPS 2023Knowledge Distillation for High Dimensional Search Index
750. NeurIPS 2023LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas

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.