Imagen de Portada

Leveraging the Value of Information in POMDP Planning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Laouar, Zakariya, Ho, Qi Heng, Sunberg, Zachary
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
por: Kraske, Benjamin, et al.
Publicado: (2024)

Robustness Analysis of POMDP Policies to Observation Perturbations
por: Kraske, Benjamin, et al.
Publicado: (2026)

Recursively-Constrained Partially Observable Markov Decision Processes
por: Ho, Qi Heng, et al.
Publicado: (2023)

Rao-Blackwellized POMDP Planning
por: Lee, Jiho, et al.
Publicado: (2024)

Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems
por: Laouar, Zakariya, et al.
Publicado: (2023)

Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
por: Ho, Qi Heng, et al.
Publicado: (2024)

Human-Centered Autonomy for UAS Target Search
por: Ray, Hunter M., et al.
Publicado: (2023)

Explanation through Reward Model Reconciliation using POMDP Tree Search
por: Kraske, Benjamin D., et al.
Publicado: (2023)

Vectorized Online POMDP Planning
por: Hoerger, Marcus, et al.
Publicado: (2025)

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs
por: Dagan, Ofer, et al.
Publicado: (2024)

Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods
por: Becker, Tyler, et al.
Publicado: (2024)

POMDPPlanners: Open-Source Package for POMDP Planning
por: Pariente, Yaacov, et al.
Publicado: (2026)

Safe POMDP Online Planning via Shielding
por: Sheng, Shili, et al.
Publicado: (2023)

Sampling-based Task and Kinodynamic Motion Planning under Semantic Uncertainty
por: Ho, Qi Heng, et al.
Publicado: (2026)

Finite-Time Analysis of MCTS in Continuous POMDP Planning
por: Kong, Da, et al.
Publicado: (2026)

Online POMDP Planning with Anytime Deterministic Optimality Guarantees
por: Barenboim, Moran, et al.
Publicado: (2023)

Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent
por: Stocco, Paula, et al.
Publicado: (2024)

Anytime Incremental $ρ$POMDP Planning in Continuous Spaces
por: Benchetrit, Ron, et al.
Publicado: (2025)

Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning
por: Saborio, Juan Carlos, et al.
Publicado: (2024)

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
por: Lev-Yehudi, Idan, et al.
Publicado: (2023)

Hierarchical Object-Oriented POMDP Planning for Object Rearrangement
por: Mangannavar, Rajesh, et al.
Publicado: (2024)

Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
por: Jin, Xuanjin, et al.
Publicado: (2024)

Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
por: Tang, Wenjing, et al.
Publicado: (2025)

ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
por: Moss, Robert J., et al.
Publicado: (2024)

MEMBOT: Memory-Based Robot in Intermittent POMDP
por: Liang, Youzhi, et al.
Publicado: (2025)

Measurement Simplification in ρ-POMDP with Performance Guarantees
por: Yotam, Tom, et al.
Publicado: (2023)

Approximate Dec-POMDP Solving Using Multi-Agent A*
por: Koops, Wietze, et al.
Publicado: (2024)

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
por: Curtis, Aidan, et al.
Publicado: (2025)

Interval POMDP Shielding for Imperfect-Perception Agents
por: Scarbro, William, et al.
Publicado: (2026)

Deep Belief Markov Models for POMDP Inference
por: Arcieri, Giacomo, et al.
Publicado: (2025)

Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time
por: Veronese, Celeste, et al.
Publicado: (2025)

A Comparative Survey of PyTorch vs TensorFlow for Deep Learning: Usability, Performance, and Deployment Trade-offs
por: Alawi, Zakariya Ba
Publicado: (2025)

Expert-Guided POMDP Learning for Data-Efficient Modeling in Healthcare
por: Locatelli, Marco, et al.
Publicado: (2025)

The Context Gathering Decision Process: A POMDP Framework for Agentic Search
por: Kausik, Chinmaya, et al.
Publicado: (2026)

Adaptive mine planning under geological uncertainty: A POMDP framework for sequential decision-making
por: Khalifi, Hamza, et al.
Publicado: (2026)

Learning Optimal Defender Strategies for CAGE-2 using a POMDP Model
por: Le, Duc Huy, et al.
Publicado: (2025)

SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments
por: Ishida, Shu, et al.
Publicado: (2024)

Learning Explainable and Better Performing Representations of POMDP Strategies
por: Bork, Alexander, et al.
Publicado: (2024)

Increasing the Value of Information During Planning in Uncertain Environments
por: Pokharel, Gaurab
Publicado: (2024)

Leveraging Action Relational Structures for Integrated Learning and Planning
por: Wang, Ryan Xiao, et al.
Publicado: (2025)