Cover Image

Value of Information-based Deceptive Path Planning Under Adversarial Interventions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Suttle, Wesley A., Milzman, Jesse, Karabag, Mustafa O., Sadler, Brian M., Topcu, Ufuk
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deceptive Exploration in Multi-armed Bandits
by: Vurankaya, I. Arda, et al.
Published: (2025)

Sequential Resource Trading Using Comparison-Based Gradient Estimation
by: Murthy, Surya, et al.
Published: (2024)

A Decentralized Shotgun Approach for Team Deception
by: Probine, Caleb, et al.
Published: (2024)

Deceptive Planning Exploiting Inattention Blindness
by: Karabag, Mustafa O., et al.
Published: (2025)

Deceptive Sequential Decision-Making via Regularized Policy Optimization
by: Kim, Yerin, et al.
Published: (2025)

Linear-Quadratic Gaussian Games with Distributed Sparse Estimation
by: Qiu, Tianyu, et al.
Published: (2026)

Identity Concealment Games: How I Learned to Stop Revealing and Love the Coincidences
by: Karabag, Mustafa O., et al.
Published: (2021)

Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game
by: Karabag, Mustafa O., et al.
Published: (2025)

Sensing Resource Allocation Against Data-Poisoning Attacks in Traffic Routing
by: Yu, Yue, et al.
Published: (2024)

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
by: Suttle, Wesley A., et al.
Published: (2024)

Adversarial Observability and Performance Trade-offs in Optimal Control
by: Fotiadis, Filippos, et al.
Published: (2025)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
by: Fatemi, Michael Y., et al.
Published: (2024)

Generalized Information Gathering Under Dynamics Uncertainty
by: Palafox, Fernando, et al.
Published: (2026)

Leveraging High-Fidelity Digital Models and Reinforcement Learning for Mission Engineering: A Case Study of Aerial Firefighting Under Perfect Information
by: Çetinkaya, İbrahim Oğuz, et al.
Published: (2025)

Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions
by: Sobotka, Jan, et al.
Published: (2026)

Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
by: Ganesh, Swetha, et al.
Published: (2024)

Mean-Field Path-Integral Diffusion: From Samples to Interacting Agents
by: Chertkov, Michael
Published: (2026)

BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)

OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
by: Gai, Kuo, et al.
Published: (2024)

Exact Dual Geometry of SOC-ICNN Value Functions
by: Liu, Kang, et al.
Published: (2026)

Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate
by: C., Simo Alami, et al.
Published: (2025)

Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
by: Neary, Cyrus, et al.
Published: (2024)

From Optimization to Prediction: Transformer-Based Path-Flow Estimation to the Traffic Assignment Problem
by: Ameli, Mostafa, et al.
Published: (2025)

TaskMet: Task-Driven Metric Learning for Model Learning
by: Bansal, Dishank, et al.
Published: (2023)

Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
by: Rezk, Fady, et al.
Published: (2023)

Active Inference for Energy Control and Planning in Smart Buildings and Communities
by: Nazemi, Seyyed Danial, et al.
Published: (2025)

Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
by: Fard, Amir, et al.
Published: (2025)

Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method
by: Bright-Thonney, Samuel, et al.
Published: (2026)

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
by: Li, Hongpei, et al.
Published: (2024)

AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand Uncertainty
by: Van Twiller, Jaike, et al.
Published: (2025)

Analytic Bridge Diffusions for Controlled Path Generation
by: Chertkov, Michael
Published: (2026)

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
by: Fard, Amir, et al.
Published: (2025)

Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios
by: Sepúlveda, Carlos S., et al.
Published: (2026)

Approximate Feedback Nash Equilibria with Sparse Inter-Agent Dependencies
by: Liu, Xinjie, et al.
Published: (2024)

Efficient Risk-sensitive Planning via Entropic Risk Measures
by: Marthe, Alexandre, et al.
Published: (2025)

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
by: Shen, Keyi, et al.
Published: (2026)

On the Duality Between Sharpness-Aware Minimization and Adversarial Training
by: Zhang, Yihao, et al.
Published: (2024)

An improved column-generation-based matheuristic for learning classification trees
by: Patel, Krunal Kishor, et al.
Published: (2023)

IoT-based Fresh Produce Supply Chain Under Uncertainty: An Adaptive Optimization Framework
by: Seth, Chirag, et al.
Published: (2025)

CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
by: Zeng, Shuli, et al.
Published: (2025)