A curated list of Monte Carlo tree search papers with implementations from the following conferences/journals:
- Machine learning
- Computer vision
- Natural language processing
- Data
- Artificial intelligence
- Robotics
- Games
Similar collections about graph classification, gradient boosting, classification/regression trees, fraud detection, and community detection papers with implementations.
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Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework (AAAI 2022)
- Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
- [Paper]
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NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search (AAAI 2022)
- Wanqi Xue, Bo An, Chai Kiat Yeo
- [Paper]
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Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks (AAAI 2022)
- Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton
- [Paper]
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Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search (AAAI 2022)
- Animesh Sinha, Utkarsh Azad, Harjinder Singh
- [Paper]
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Split Moves for Monte-Carlo Tree Search (AAAI 2022)
- Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykula, Mark H. M. Winands
- [Paper]
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Procrastinated Tree Search: Black-Box Optimization with Delayed%2C Noisy and Multi-Fidelity Feedback (AAAI 2022)
- Junxiong Wang, Debabrota Basu, Immanuel Trummer
- [Paper]
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Enabling Arbitrary Translation Objectives with Adaptive Tree Search (ICLR 2022)
- Wang Ling, Wojciech Stokowiec, Domenic Donato, Chris Dyer, Lei Yu, Laurent Sartran, Austin Matthews
- [Paper]
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What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization (ICLR 2022)
- Maximili1an Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich
- [Paper]
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Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search (IJCAI 2022)
- Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki
- [Paper]
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Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search (RECSYS 2022)
- Dilina Chandika Rajapakse, Douglas Leith
- [Paper]
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Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search (AAAI 2021)
- Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh
- [Paper]
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Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination (AAAI 2021)
- Minglong Li, Zhongxuan Cai, Wenjing Yang, Lixia Wu, Yinghui Xu, Ji Wang
- [Paper]
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Improved POMDP Tree Search Planning with Prioritized Action Branching (AAAI 2021)
- John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer
- [Paper]
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Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search (AAAI 2021)
- Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia
- [Paper]
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Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model (AAAI 2021)
- Felix Mohr, Viktor Bengs, Eyke Hüllermeier
- [Paper]
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Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem (CIKM 2021)
- Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng
- [Paper]
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Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design (ICLR 2021)
- Xiufeng Yang, Tanuj Kr Aasawat, Kazuki Yoshizoe
- [Paper]
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Convex Regularization in Monte-Carlo Tree Search (ICML 2021)
- Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
- [Paper]
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Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu (IJCAI 2021)
- Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen
- [Paper]
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Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds (AAAI 2020)
- Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
- [Paper]
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Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search (AAAI 2020)
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Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients (AAAI 2020)
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Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions (AISTATS 2020)
- Lars Buesing, Nicolas Heess, Theophane Weber
- [Paper]
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Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search (ICLR 2020)
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Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains (ICML 2020)
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Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning (ICML 2020)
- Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
- [Paper]
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Monte-Carlo Tree Search for Scalable Coalition Formation (IJCAI 2020)
- Feng Wu, Sarvapali D. Ramchurn
- [Paper]
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Generalized Mean Estimation in Monte-Carlo Tree Search (IJCAI 2020)
- Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
- [Paper]
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Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces (IJCAI 2020)
- Michael H. Lim, Claire Tomlin, Zachary N. Sunberg
- [Paper]
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Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions (NeurIPS 2020)
- Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
- [Paper]
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Extracting Knowledge from Web Text with Monte Carlo Tree Search (WWW 2020)
- Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li
- [Paper]
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ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search (AAAI 2019)
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A Monte Carlo Tree Search Player for Birds of a Feather Solitaire (AAAI 2019)
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Vine Copula Structure Learning via Monte Carlo Tree Search (AISTATS 2019)
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Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach (AISTATS 2019)
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Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery (ICDM 2019)
- Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng
- [Paper]
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Monte Carlo Tree Search for Policy Optimization (IJCAI 2019)
- Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
- [Paper]
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Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search (IJCAI 2019)
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Automated Machine Learning with Monte-Carlo Tree Search (IJCAI 2019)
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Multiple Policy Value Monte Carlo Tree Search (IJCAI 2019)
- Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu
- [Paper]
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Learning Compositional Neural Programs with Recursive Tree Search and Planning (NeurIPS 2019)
- Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
- [Paper]
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Monte Carlo Methods for the Game Kingdomino (CIG 2018)
- Magnus Gedda, Mikael Z. Lagerkvist, Martin Butler
- [Paper]
- [Code]
- [Game Server]
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Reset-free Trial-and-Error Learning for Robot Damage Recovery (RAS 2018)
- Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret
- [Paper]
- [Code]
- [MCTS C++ Library]
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Memory-Augmented Monte Carlo Tree Search (AAAI 2018)
- Chenjun Xiao, Jincheng Mei, Martin Müller
- [Paper]
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Feedback-Based Tree Search for Reinforcement Learning (ICML 2018)
- Daniel R. Jiang, Emmanuel Ekwedike, Han Liu
- [Paper]
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Extended Increasing Cost Tree Search for Non-Unit Cost Domains (IJCAI 2018)
- Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner
- [Paper]
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Three-Head Neural Network Architecture for Monte Carlo Tree Search (IJCAI 2018)
- Chao Gao, Martin Müller, Ryan Hayward
- [Paper]
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Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search (IJCAI 2018)
- Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Son Tran, William Yeoh
- [Paper]
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Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search (NIPS 2018)
- Zhuwen Li, Qifeng Chen, Vladlen Koltun
- [Paper]
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M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search (NIPS 2018)
- Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
- [Paper]
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Single-Agent Policy Tree Search With Guarantees (NIPS 2018)
- Laurent Orseau, Levi Lelis, Tor Lattimore, Theophane Weber
- [Paper]
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Monte-Carlo Tree Search for Constrained POMDPs (NIPS 2018)
- Jongmin Lee, Geon-hyeong Kim, Pascal Poupart, Kee-Eung Kim
- [Paper]
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An Analysis of Monte Carlo Tree Search (AAAI 2017)
- Steven James, George Dimitri Konidaris, Benjamin Rosman
- [Paper]
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Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation (AAAI 2017)
- Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao
- [Paper]
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Designing Better Playlists with Monte Carlo Tree Search (AAAI 2017)
- Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone
- [Paper]
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Learning in POMDPs with Monte Carlo Tree Search (ICML 2017)
- Sammie Katt, Frans A. Oliehoek, Christopher Amato
- [Paper]
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Learning to Run Heuristics in Tree Search (IJCAI 2017)
- Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao
- [Paper]
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Estimating the Size of Search Trees by Sampling with Domain Knowledge (IJCAI 2017)
- Gleb Belov, Samuel Esler, Dylan Fernando, Pierre Le Bodic, George L. Nemhauser
- [Paper]
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A Monte Carlo Tree Search Approach to Active Malware Analysis (IJCAI 2017)
- Riccardo Sartea, Alessandro Farinelli
- [Paper]
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Monte-Carlo Tree Search by Best Arm Identification (NIPS 2017)
- Emilie Kaufmann, Wouter M. Koolen
- [Paper]
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Thinking Fast and Slow with Deep Learning and Tree Search (NIPS 2017)
- Thomas Anthony, Zheng Tian, David Barber
- [Paper]
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Monte-Carlo Tree Search using Batch Value of Perfect Information (UAI 2017)
- Shahaf S. Shperberg, Solomon Eyal Shimony, Ariel Felner
- [Paper]
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Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares (AAAI 2016)
- Robert Arrington, Clay Langley, Steven Bogaerts
- [Paper]
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Monte Carlo Tree Search for Multi-Robot Task Allocation (AAAI 2016)
- Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini
- [Paper]
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Large Scale Hard Sample Mining with Monte Carlo Tree Search (CVPR 2016)
- Olivier Canévet, François Fleuret
- [Paper]
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On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search (ICML 2016)
- Piyush Khandelwal, Elad Liebman, Scott Niekum, Peter Stone
- [Paper]
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Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games (IJCAI 2016)
- Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis, Honglak Lee
- [Paper]
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Monte Carlo Tree Search in Continuous Action Spaces with Execution Uncertainty (IJCAI 2016)
- Timothy Yee, Viliam Lisý, Michael H. Bowling
- [Paper]
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Learning Predictive State Representations via Monte-Carlo Tree Search (IJCAI 2016)
- Yunlong Liu, Hexing Zhu, Yifeng Zeng, Zongxiong Dai
- [Paper]
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Efficient Globally Optimal Consensus Maximisation with Tree Search (CVPR 2015)
- Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
- [Paper]
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Interplanetary Trajectory Planning with Monte Carlo Tree Search (IJCAI 2015)
- Daniel Hennes, Dario Izzo
- [Paper]
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State Aggregation in Monte Carlo Tree Search (AAAI 2014)
- Jesse Hostetler, Alan Fern, Tom Dietterich
- [Paper]
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Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning (NIPS 2014)
- Xiaoxiao Guo, Satinder P. Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang
- [Paper]
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Learning Partial Policies to Speedup MDP Tree Search (UAI 2014)
- Jervis Pinto, Alan Fern
- [Paper]
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Monte Carlo Tree Search for Scheduling Activity Recognition (ICCV 2013)
- Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu
- [Paper]
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Convergence of Monte Carlo Tree Search in Simultaneous Move Games (NIPS 2013)
- Viliam Lisý, Vojtech Kovarík, Marc Lanctot, Branislav Bosanský
- [Paper]
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Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search (NIPS 2013)
- Aijun Bai, Feng Wu, Xiaoping Chen
- [Paper]
- Generalized Monte-Carlo Tree Search Extensions for General Game Playing (AAAI 2012)
- Hilmar Finnsson
- [Paper]
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A Local Monte Carlo Tree Search Approach in Deterministic Planning (AAAI 2011)
- Fan Xie, Hootan Nakhost, Martin Müller
- [Paper]
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Real-Time Solving of Quantified CSPs Based on Monte-Carlo Game Tree Search (IJCAI 2011)
- Satomi Baba, Yongjoon Joe, Atsushi Iwasaki, Makoto Yokoo
- [Paper]
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Nested Rollout Policy Adaptation for Monte Carlo Tree Search (IJCAI 2011)
- Christopher D. Rosin
- [Paper]
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Variance Reduction in Monte-Carlo Tree Search (NIPS 2011)
- Joel Veness, Marc Lanctot, Michael H. Bowling
- [Paper]
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Learning Is Planning: Near Bayes-Optimal Reinforcement Learning via Monte-Carlo Tree Search (UAI 2011)
- John Asmuth, Michael L. Littman
- [Paper]
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Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search (AAAI 2010)
- Jeffrey Richard Long, Nathan R. Sturtevant, Michael Buro, Timothy Furtak
- [Paper]
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Bayesian Inference in Monte-Carlo Tree Search (UAI 2010)
- Gerald Tesauro, V. T. Rajan, Richard Segal
- [Paper]
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Monte Carlo Tree Search Techniques in the Game of Kriegspiel (IJCAI 2009)
- Paolo Ciancarini, Gian Piero Favini
- [Paper]
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Bootstrapping from Game Tree Search (NIPS 2009)
- Joel Veness, David Silver, William T. B. Uther, Alan Blair
- [Paper]
- Direct Mining of Discriminative and Essential Frequent Patterns via Model-Based Search Tree (KDD 2008)
- Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
- [Paper]
- Bandit Algorithms for Tree Search (UAI 2007)
- Pierre-Arnaud Coquelin, Rémi Munos
- [Paper]
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Properties of Forward Pruning in Game-Tree Search (AAAI 2006)
- Yew Jin Lim, Wee Sun Lee
- [Paper]
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Graph Branch Algorithm: An Optimum Tree Search Method for Scored Dependency Graph with Arc Co-Occurrence Constraints (ACL 2006)
- Hideki Hirakawa
- [Paper]
- Game-Tree Search with Combinatorially Large Belief States (IJCAI 2005)
- Austin Parker, Dana S. Nau, V. S. Subrahmanian
- [Paper]
- Solving Finite Domain Constraint Hierarchies by Local Consistency and Tree Search (IJCAI 2003)
- Stefano Bistarelli, Philippe Codognet, Kin Chuen Hui, Jimmy Ho-Man Lee
- [Paper]
- Incomplete Tree Search using Adaptive Probing (IJCAI 2001)
- Wheeler Ruml
- [Paper]
- KnightCap: A Chess Programm That Learns by Combining TD with Game-Tree Search (ICML 1998)
- Jonathan Baxter, Andrew Tridgell, Lex Weaver
- [Paper]
- A Tree Search Algorithm for Target Detection in Image Sequences (CVPR 1988)
- Steven D. Blostein, Thomas S. Huang
- [Paper]
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