Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop
Fuente:
arXiv
Saved in:
| Main Author: | Richoux, Florian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining
by: Qian, Yiyu, et al.
Published: (2025)
by: Qian, Yiyu, et al.
Published: (2025)
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems
by: Jha, Piyush, et al.
Published: (2024)
by: Jha, Piyush, et al.
Published: (2024)
MCTS-EP: Empowering Embodied Planning with Online Preference Optimization
by: Xu, Hang, et al.
Published: (2025)
by: Xu, Hang, et al.
Published: (2025)
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
by: Bal, Melis Ilayda, et al.
Published: (2024)
by: Bal, Melis Ilayda, et al.
Published: (2024)
Boosting MCTS with Free Energy Minimization
by: Dao, Mawaba Pascal, et al.
Published: (2025)
by: Dao, Mawaba Pascal, et al.
Published: (2025)
Learning to Inject: Automated Prompt Injection via Reinforcement Learning
by: Chen, Xin, et al.
Published: (2026)
by: Chen, Xin, et al.
Published: (2026)
Combining LLMs with Logic-Based Framework to Explain MCTS
by: An, Ziyan, et al.
Published: (2025)
by: An, Ziyan, et al.
Published: (2025)
Structure and Reduction of MCTS for Explainable-AI
by: Bustin, Ronit, et al.
Published: (2024)
by: Bustin, Ronit, et al.
Published: (2024)
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
by: Lee, Jaejin, et al.
Published: (2024)
by: Lee, Jaejin, et al.
Published: (2024)
MASTER: A Multi-Agent System with LLM Specialized MCTS
by: Gan, Bingzheng, et al.
Published: (2025)
by: Gan, Bingzheng, et al.
Published: (2025)
Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation
by: Zhang, Weiming, et al.
Published: (2026)
by: Zhang, Weiming, et al.
Published: (2026)
Finite-Time Analysis of MCTS in Continuous POMDP Planning
by: Kong, Da, et al.
Published: (2026)
by: Kong, Da, et al.
Published: (2026)
Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization
by: Jiang, Xia, et al.
Published: (2026)
by: Jiang, Xia, et al.
Published: (2026)
Generating Novelty in Open-World Multi-Agent Strategic Board Games
by: Kejriwal, Mayank, et al.
Published: (2025)
by: Kejriwal, Mayank, et al.
Published: (2025)
Ludax: A GPU-Accelerated Domain Specific Language for Board Games
by: Todd, Graham, et al.
Published: (2025)
by: Todd, Graham, et al.
Published: (2025)
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
by: An, Ziyan, et al.
Published: (2024)
by: An, Ziyan, et al.
Published: (2024)
COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search Agents
by: Shen, Wenkai, et al.
Published: (2026)
by: Shen, Wenkai, et al.
Published: (2026)
Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding
by: Takhanov, Rustem, et al.
Published: (2026)
by: Takhanov, Rustem, et al.
Published: (2026)
DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications
by: Umili, Elena, et al.
Published: (2026)
by: Umili, Elena, et al.
Published: (2026)
Stein Variational Black-Box Combinatorial Optimization
by: Landais, Thomas, et al.
Published: (2026)
by: Landais, Thomas, et al.
Published: (2026)
Exploring Adaptive MCTS with TD Learning in miniXCOM
by: Saadat, Kimiya, et al.
Published: (2022)
by: Saadat, Kimiya, et al.
Published: (2022)
MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation
by: Tomy, Milan, et al.
Published: (2024)
by: Tomy, Milan, et al.
Published: (2024)
Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots
by: Tang, Brian Jay, et al.
Published: (2024)
by: Tang, Brian Jay, et al.
Published: (2024)
Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Factor Mining
by: Shi, Yu, et al.
Published: (2025)
by: Shi, Yu, et al.
Published: (2025)
FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS
by: Kim, Chaeeun, et al.
Published: (2025)
by: Kim, Chaeeun, et al.
Published: (2025)
IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information
by: Chen, Shenghui, et al.
Published: (2025)
by: Chen, Shenghui, et al.
Published: (2025)
Playing Board Games with the Predict Results of Beam Search Algorithm
by: Pastukhov, Sergey
Published: (2024)
by: Pastukhov, Sergey
Published: (2024)
Bridging Local and Global Knowledge via Transformer in Board Games
by: Ju, Yan-Ru, et al.
Published: (2024)
by: Ju, Yan-Ru, et al.
Published: (2024)
Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
by: Feng, Shaodi, et al.
Published: (2026)
by: Feng, Shaodi, et al.
Published: (2026)
C-MCTS: Safe Planning with Monte Carlo Tree Search
by: Parthasarathy, Dinesh, et al.
Published: (2023)
by: Parthasarathy, Dinesh, et al.
Published: (2023)
Magellan: Guided MCTS for Latent Space Exploration and Novelty Generation
by: Chang, Lufan
Published: (2025)
by: Chang, Lufan
Published: (2025)
PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection
by: Cheng, Siyuan, et al.
Published: (2026)
by: Cheng, Siyuan, et al.
Published: (2026)
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze
by: Xuan, Chunyu, et al.
Published: (2024)
by: Xuan, Chunyu, et al.
Published: (2024)
Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS
by: Guo, Tong, et al.
Published: (2026)
by: Guo, Tong, et al.
Published: (2026)
WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis
by: Gao, Yifei, et al.
Published: (2025)
by: Gao, Yifei, et al.
Published: (2025)
Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)
by: Dax, Victoria M., et al.
Published: (2024)
Probing Neural Combinatorial Optimization Models
by: Zhang, Zhiqin, et al.
Published: (2025)
by: Zhang, Zhiqin, et al.
Published: (2025)
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
by: Chi, Ce, et al.
Published: (2024)
by: Chi, Ce, et al.
Published: (2024)
Speeding Up Path Planning via Reinforcement Learning in MCTS for Automated Parking
by: Zheng, Xinlong, et al.
Published: (2024)
by: Zheng, Xinlong, et al.
Published: (2024)
Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization
by: Amiri, Saeid, et al.
Published: (2024)
by: Amiri, Saeid, et al.
Published: (2024)
Similar Items
-
Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining
by: Qian, Yiyu, et al.
Published: (2025) -
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems
by: Jha, Piyush, et al.
Published: (2024) -
MCTS-EP: Empowering Embodied Planning with Online Preference Optimization
by: Xu, Hang, et al.
Published: (2025) -
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
by: Bal, Melis Ilayda, et al.
Published: (2024) -
Boosting MCTS with Free Energy Minimization
by: Dao, Mawaba Pascal, et al.
Published: (2025)