Imagen de Portada

In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Demirović, Emir, Schilling, Christian, Lukina, Anna
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Optimal Survival Trees: A Dynamic Programming Approach
por: Huisman, Tim, et al.
Publicado: (2024)

Kov: Transferable and Naturalistic Black-Box LLM Attacks using Markov Decision Processes and Tree Search
por: Moss, Robert J.
Publicado: (2024)

Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
por: Brita, Catalin E., et al.
Publicado: (2025)

Policy Guided Tree Search for Enhanced LLM Reasoning
por: Li, Yang
Publicado: (2025)

Decision Making in Non-Stationary Environments with Policy-Augmented Search
por: Pettet, Ava, et al.
Publicado: (2024)

LeanTree: Accelerating White-Box Proof Search with Factorized States in Lean 4
por: Kripner, Matěj, et al.
Publicado: (2025)

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

Amortized Reasoning Tree Search: Decoupling Proposal and Decision in Large Language Models
por: Hong, Zesheng, et al.
Publicado: (2026)

Tree Search-Based Policy Optimization under Stochastic Execution Delay
por: Valensi, David, et al.
Publicado: (2024)

Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead
por: Koren, Uri, et al.
Publicado: (2025)

Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
por: van der Linden, Jacobus G. M., et al.
Publicado: (2023)

Monte Carlo Tree Search based Space Transfer for Black-box Optimization
por: Wang, Shukuan, et al.
Publicado: (2024)

Differentiable Tree Search Network
por: Mittal, Dixant, et al.
Publicado: (2024)

Discrete Variational Autoencoding via Policy Search
por: Drolet, Michael, et al.
Publicado: (2025)

Optimal Decision Tree Policies for Markov Decision Processes
por: Vos, Daniël, et al.
Publicado: (2023)

Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search (Full version)
por: Sasaki, Yuya
Publicado: (2023)

LiteSearch: Efficacious Tree Search for LLM
por: Wang, Ante, et al.
Publicado: (2024)

Epistemic Monte Carlo Tree Search
por: Oren, Yaniv, et al.
Publicado: (2022)

Levin Tree Search with Context Models
por: Orseau, Laurent, et al.
Publicado: (2023)

Policy-Guided Search on Tree-of-Thoughts for Efficient Problem Solving with Bounded Language Model Queries
por: Pendurkar, Sumedh, et al.
Publicado: (2026)

Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Case Study on BERT-based Language Models
por: Ozaki, Ana, et al.
Publicado: (2024)

Boundary on the Table: Efficient Black-Box Decision-Based Attacks for Structured Data
por: Kazoom, Roie, et al.
Publicado: (2025)

UNSAT Solver Synthesis via Monte Carlo Forest Search
por: Cameron, Chris, et al.
Publicado: (2022)

Offline Model-Based Optimization via Policy-Guided Gradient Search
por: Chemingui, Yassine, et al.
Publicado: (2024)

Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
por: Schweiger, Niklas, et al.
Publicado: (2026)

Unpacking the Black Box: Regulating Algorithmic Decisions
por: Blattner, Laura, et al.
Publicado: (2021)

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

Tree Search for LLM Agent Reinforcement Learning
por: Ji, Yuxiang, et al.
Publicado: (2025)

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

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

Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
por: Charvadeh, Yasin Khadem, et al.
Publicado: (2026)

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
por: Xie, Yuxi, et al.
Publicado: (2024)

Dependency Structure Search Bayesian Optimization for Decision Making Models
por: Rajpal, Mohit, et al.
Publicado: (2023)

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

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

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

Thinking Fast and Slow with Deep Learning and Tree Search
por: Anthony, Thomas, et al.
Publicado: (2017)

Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction
por: Kwak, Yunhyeok, et al.
Publicado: (2024)

RF-Agent: Automated Reward Function Design via Language Agent Tree Search
por: Gao, Ning, et al.
Publicado: (2026)

Data Augmentation Policy Search for Long-Term Forecasting
por: Nochumsohn, Liran, et al.
Publicado: (2024)