Imagen de Portada

Recursively-Constrained Partially Observable Markov Decision Processes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ho, Qi Heng, Becker, Tyler, Kraske, Benjamin, Laouar, Zakariya, Feather, Martin S., Rossi, Federico, Lahijanian, Morteza, Sunberg, Zachary N.
Formato:	Preprint
Publicado:	2023
Materias:	Artificial Intelligence Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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)

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

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

Leveraging the Value of Information in POMDP Planning
por: Laouar, Zakariya, et al.
Publicado: (2026)

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

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

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

Kino-PAX$^+$: Near-Optimal Massively Parallel Kinodynamic Sampling-based Motion Planner
por: Perrault, Nicolas, et al.
Publicado: (2026)

Kino-PAX: Highly Parallel Kinodynamic Sampling-based Planner
por: Perrault, Nicolas, et al.
Publicado: (2024)

Simultaneous AlphaZero: Extending Tree Search to Markov Games
por: Becker, Tyler, et al.
Publicado: (2025)

Provably Safe Motion Planning Under Unknown Disturbances
por: Gracia, Ibon, et al.
Publicado: (2026)

Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games
por: Muvvala, Karan, et al.
Publicado: (2024)

Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes
por: Zhang, Yunuo, et al.
Publicado: (2025)

Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
por: Amorese, Peter, et al.
Publicado: (2024)

Stochastic Barrier Certificates in the Presence of Dynamic Obstacles
por: Mazouz, Rayan, et al.
Publicado: (2026)

Optimal Planning for Timed Partial Order Specifications
por: Watanabe, Kandai, et al.
Publicado: (2024)

Admissibility Over Winning: A New Approach to Reactive Synthesis in Robotics
por: Muvvala, Karan, et al.
Publicado: (2024)

Extended Version: Multi-Robot Motion Planning with Cooperative Localization
por: Theurkauf, Anne, et al.
Publicado: (2025)

Piecewise Stochastic Barrier Functions
por: Mazouz, Rayan, et al.
Publicado: (2024)

IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes
por: Mathiesen, Frederik Baymler, et al.
Publicado: (2024)

Interval Markov Decision Processes with Continuous Action-Spaces
por: Delimpaltadakis, Giannis, et al.
Publicado: (2022)

Learning Markov Processes as Sum-of-Square Forms for Analytical Belief Propagation
por: Amorese, Peter, et al.
Publicado: (2026)

Information Seeking for Robust Decision Making under Partial Observability
por: Fang, Djengo Cyun-Jyun, et al.
Publicado: (2025)

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

Learning specifications for reactive synthesis with safety constraints
por: Watanabe, Kandai, et al.
Publicado: (2026)

Introducing Delays in Multi-Agent Path Finding
por: Kottinger, Justin, et al.
Publicado: (2023)

Falsification of Autonomous Systems in Rich Environments
por: Elimelech, Khen, et al.
Publicado: (2024)

Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
por: Mazouz, Rayan, et al.
Publicado: (2022)

Online Gaussian Process State-Space Model: Learning and Planning for Partially Observable Dynamical Systems
por: Park, Soon-Seo, et al.
Publicado: (2019)

Soil Sample Search in Partially Observable Environments
por: Yang, Han, et al.
Publicado: (2024)

Decision Transformer as a Foundation Model for Partially Observable Continuous Control
por: Zhang, Xiangyuan, et al.
Publicado: (2024)

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
por: Kalagarla, Krishna C., et al.
Publicado: (2023)

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

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

Heterogeneous Team Coordination on Partially Observable Graphs with Realistic Communication
por: Zhou, Yanlin, et al.
Publicado: (2024)

Markov Decision Processes for Satellite Maneuver Planning and Collision Avoidance
por: Kuhl, William, et al.
Publicado: (2025)

Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning
por: Kim, Yoonwoo, et al.
Publicado: (2026)

Speed Optimization Algorithm based on Deterministic Markov Decision Process for Automated Highway Merge
por: Goto, Takeru, et al.
Publicado: (2025)