:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Kurečka, Martin, Nevyhoštěný, Václav, Novotný, Petr, Unčovský, Vít
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.13962
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives
by: Avni, Guy, et al.
Published: (2024)

Discovering State Equivalences in UCT Search Trees By Action Pruning
by: Schmöcker, Robin, et al.
Published: (2025)

Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
by: Lallouet, Noé, et al.
Published: (2025)

Monte Carlo Search Algorithms Discovering Monte Carlo Tree Search Exploration Terms
by: Cazenave, Tristan
Published: (2024)

Monte Carlo Tree Search in the Presence of Transition Uncertainty
by: Kohankhaki, Farnaz, et al.
Published: (2023)

Epistemic Monte Carlo Tree Search
by: Oren, Yaniv, et al.
Published: (2022)

Investigating Scale Independent UCT Exploration Factor Strategies
by: Schmöcker, Robin, et al.
Published: (2025)

Symmetry-Constrained Generation of Diverse Low-Bandgap Molecules with Monte Carlo Tree Search
by: Subramanian, Akshay, et al.
Published: (2024)

Generalized Proof-Number Monte-Carlo Tree Search
by: Kowalski, Jakub, et al.
Published: (2025)

Proof Number Based Monte-Carlo Tree Search
by: Kowalski, Jakub, et al.
Published: (2023)

Monte Carlo Tree Search with Boltzmann Exploration
by: Painter, Michael, et al.
Published: (2024)

Array-Based Monte Carlo Tree Search
by: Ragan, James, et al.
Published: (2025)

Lookahead Pathology in Monte-Carlo Tree Search
by: Nguyen, Khoi P. N., et al.
Published: (2022)

Twice Sequential Monte Carlo for Tree Search
by: Oren, Yaniv, et al.
Published: (2025)

Doubly Robust Monte Carlo Tree Search
by: Liu, Manqing, et al.
Published: (2025)

Super-Exponential Regret for UCT, AlphaGo and Variants
by: Orseau, Laurent, et al.
Published: (2024)

Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
by: Grelier, Cyril, et al.
Published: (2023)

Monte Carlo Permutation Search
by: Cazenave, Tristan
Published: (2025)

Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning
by: Hudák, David, et al.
Published: (2026)

Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown
by: Derstroff, Cedric, et al.
Published: (2024)

Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization
by: Amiri, Saeid, et al.
Published: (2024)

Power Mean Estimation in Stochastic Monte-Carlo Tree_Search
by: Dam, Tuan, et al.
Published: (2024)

Extreme Value Monte Carlo Tree Search for Classical Planning
by: Asai, Masataro, et al.
Published: (2024)

Anytime Sequential Halving in Monte-Carlo Tree Search
by: Sagers, Dominic, et al.
Published: (2024)

Interpretable Contrastive Monte Carlo Tree Search Reasoning
by: Gao, Zitian, et al.
Published: (2024)

Improving GFlowNets with Monte Carlo Tree Search
by: Morozov, Nikita, et al.
Published: (2024)

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
by: Antoniades, Antonis, et al.
Published: (2024)

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search
by: Huang, Chenyi, et al.
Published: (2026)

Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
by: Kowalski, Jakub, et al.
Published: (2025)

Constrained Hierarchical Monte Carlo Belief-State Planning
by: Jamgochian, Arec, et al.
Published: (2023)

Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025)

C-MCTS: Safe Planning with Monte Carlo Tree Search
by: Parthasarathy, Dinesh, et al.
Published: (2023)

Partially Observable Monte-Carlo Graph Search
by: You, Yang, et al.
Published: (2025)

Continuous Monte Carlo Graph Search
by: Kujanpää, Kalle, et al.
Published: (2022)

Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games
by: Soemers, Dennis J. N. J., et al.
Published: (2024)

Prompt-Based Monte Carlo Tree Search for Mitigating Hallucinations in Large Models
by: Duan, Zhihua, et al.
Published: (2025)

Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks
by: Zhang, Zuyuan, et al.
Published: (2025)

Toward Template-Free Explainability for Monte Carlo Tree Search
by: Lu, Siqi, et al.
Published: (2026)

Grouping Nodes With Known Value Differences: A Lossless UCT-based Abstraction Algorithm
by: Schmöcker, Robin, et al.
Published: (2025)

Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
by: Weichart, Maximilian
Published: (2025)