A curated list of Monte Carlo tree search papers with implementations.
A curated list of Monte Carlo tree search papers with implementations from the following conferences/journals:
Similar collections about graph classification, gradient boosting, classification/regression trees, fraud detection, and community detection papers with implementations.
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework (AAAI 2022)
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search (AAAI 2022)
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks (AAAI 2022)
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search (AAAI 2022)
Split Moves for Monte-Carlo Tree Search (AAAI 2022)
Procrastinated Tree Search: Black-Box Optimization with Delayed%2C Noisy and Multi-Fidelity Feedback (AAAI 2022)
Enabling Arbitrary Translation Objectives with Adaptive Tree Search (ICLR 2022)
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization (ICLR 2022)
Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search (IJCAI 2022)
Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search (RECSYS 2022)
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search (AAAI 2021)
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination (AAAI 2021)
Improved POMDP Tree Search Planning with Prioritized Action Branching (AAAI 2021)
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search (AAAI 2021)
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model (AAAI 2021)
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem (CIKM 2021)
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design (ICLR 2021)
Convex Regularization in Monte-Carlo Tree Search (ICML 2021)
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu (IJCAI 2021)
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds (AAAI 2020)
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search (AAAI 2020)
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients (AAAI 2020)
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions (AISTATS 2020)
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search (ICLR 2020)
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains (ICML 2020)
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning (ICML 2020)
Monte-Carlo Tree Search for Scalable Coalition Formation (IJCAI 2020)
Generalized Mean Estimation in Monte-Carlo Tree Search (IJCAI 2020)
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces (IJCAI 2020)
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions (NeurIPS 2020)
Extracting Knowledge from Web Text with Monte Carlo Tree Search (WWW 2020)
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search (AAAI 2019)
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire (AAAI 2019)
Vine Copula Structure Learning via Monte Carlo Tree Search (AISTATS 2019)
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach (AISTATS 2019)
Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery (ICDM 2019)
Monte Carlo Tree Search for Policy Optimization (IJCAI 2019)
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search (IJCAI 2019)
Automated Machine Learning with Monte-Carlo Tree Search (IJCAI 2019)
Multiple Policy Value Monte Carlo Tree Search (IJCAI 2019)
Learning Compositional Neural Programs with Recursive Tree Search and Planning (NeurIPS 2019)
Monte Carlo Methods for the Game Kingdomino (CIG 2018)
Reset-free Trial-and-Error Learning for Robot Damage Recovery (RAS 2018)
Memory-Augmented Monte Carlo Tree Search (AAAI 2018)
Feedback-Based Tree Search for Reinforcement Learning (ICML 2018)
Extended Increasing Cost Tree Search for Non-Unit Cost Domains (IJCAI 2018)
Three-Head Neural Network Architecture for Monte Carlo Tree Search (IJCAI 2018)
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search (IJCAI 2018)
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search (NIPS 2018)
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search (NIPS 2018)
Single-Agent Policy Tree Search With Guarantees (NIPS 2018)
Monte-Carlo Tree Search for Constrained POMDPs (NIPS 2018)
An Analysis of Monte Carlo Tree Search (AAAI 2017)
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation (AAAI 2017)
Designing Better Playlists with Monte Carlo Tree Search (AAAI 2017)
Learning in POMDPs with Monte Carlo Tree Search (ICML 2017)
Learning to Run Heuristics in Tree Search (IJCAI 2017)
Estimating the Size of Search Trees by Sampling with Domain Knowledge (IJCAI 2017)
A Monte Carlo Tree Search Approach to Active Malware Analysis (IJCAI 2017)
Monte-Carlo Tree Search by Best Arm Identification (NIPS 2017)
Thinking Fast and Slow with Deep Learning and Tree Search (NIPS 2017)
Monte-Carlo Tree Search using Batch Value of Perfect Information (UAI 2017)
Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares (AAAI 2016)
Monte Carlo Tree Search for Multi-Robot Task Allocation (AAAI 2016)
Large Scale Hard Sample Mining with Monte Carlo Tree Search (CVPR 2016)
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search (ICML 2016)
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games (IJCAI 2016)
Monte Carlo Tree Search in Continuous Action Spaces with Execution Uncertainty (IJCAI 2016)
Learning Predictive State Representations via Monte-Carlo Tree Search (IJCAI 2016)
Efficient Globally Optimal Consensus Maximisation with Tree Search (CVPR 2015)
Interplanetary Trajectory Planning with Monte Carlo Tree Search (IJCAI 2015)
State Aggregation in Monte Carlo Tree Search (AAAI 2014)
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning (NIPS 2014)
Learning Partial Policies to Speedup MDP Tree Search (UAI 2014)
Monte Carlo Tree Search for Scheduling Activity Recognition (ICCV 2013)
Convergence of Monte Carlo Tree Search in Simultaneous Move Games (NIPS 2013)
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search (NIPS 2013)
A Local Monte Carlo Tree Search Approach in Deterministic Planning (AAAI 2011)
Real-Time Solving of Quantified CSPs Based on Monte-Carlo Game Tree Search (IJCAI 2011)
Nested Rollout Policy Adaptation for Monte Carlo Tree Search (IJCAI 2011)
Variance Reduction in Monte-Carlo Tree Search (NIPS 2011)
Learning Is Planning: Near Bayes-Optimal Reinforcement Learning via Monte-Carlo Tree Search (UAI 2011)
Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search (AAAI 2010)
Bayesian Inference in Monte-Carlo Tree Search (UAI 2010)
Monte Carlo Tree Search Techniques in the Game of Kriegspiel (IJCAI 2009)
Bootstrapping from Game Tree Search (NIPS 2009)
Properties of Forward Pruning in Game-Tree Search (AAAI 2006)
Graph Branch Algorithm: An Optimum Tree Search Method for Scored Dependency Graph with Arc Co-Occurrence Constraints (ACL 2006)
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