Image de couverture de livre

Explaining Control Policies through Predicate Decision Diagrams

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chakraborty, Debraj, Dubslaff, Clemens, Kanav, Sudeep, Kretinsky, Jan, Weinhuber, Christoph
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees
par: Azeem, Muqsit, et autres
Publié: (2024)

1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
par: Azeem, Muqsit, et autres
Publié: (2024)

SemML: Enhancing Automata-Theoretic LTL Synthesis with Machine Learning
par: Kretinsky, Jan, et autres
Publié: (2025)

Learning Algorithms for Verification of Markov Decision Processes
par: Brázdil, Tomáš, et autres
Publié: (2024)

Synthesizing Interpretable Control Policies through Large Language Model Guided Search
par: Bosio, Carlo, et autres
Publié: (2024)

Monitizer: Automating Design and Evaluation of Neural Network Monitors
par: Azeem, Muqsit, et autres
Publié: (2024)

Policy Optimization for PDE Control with a Warm Start
par: Zhang, Xiangyuan, et autres
Publié: (2024)

Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs
par: Chen, Xianfu, et autres
Publié: (2024)

Conformal Off-Policy Evaluation in Markov Decision Processes
par: Foffano, Daniele, et autres
Publié: (2023)

Confidence-Aware Decision-Making and Control for Tool Selection
par: Meera, Ajith Anil, et autres
Publié: (2024)

Quantum Power Flows: From Theory to Practice
par: Liu, Junyu, et autres
Publié: (2022)

Policy Gradient-Based EMT-in-the-Loop Learning to Mitigate Sub-Synchronous Control Interactions
par: Mukherjee, Sayak, et autres
Publié: (2025)

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
par: Balim, Haldun, et autres
Publié: (2025)

An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
par: Angelotti, Giorgio, et autres
Publié: (2021)

Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
par: Nakhleh, Khaled, et autres
Publié: (2024)

Intermittently Observable Markov Decision Processes
par: Chen, Gongpu, et autres
Publié: (2023)

On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
par: Murthy, Yashaswini, et autres
Publié: (2023)

Causal Temporal Reasoning for Markov Decision Processes
par: Kazemi, Milad, et autres
Publié: (2022)

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
par: Lehna, Malte, et autres
Publié: (2023)

Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks
par: Kurtz, Vince, et autres
Publié: (2025)

Distributionally Robust Free Energy Principle for Decision-Making
par: Shafiei, Allahkaram, et autres
Publié: (2025)

An Optimal Policy for Learning Controllable Dynamics by Exploration
par: Loxley, Peter N.
Publié: (2025)

Interval Markov Decision Processes with Continuous Action-Spaces
par: Delimpaltadakis, Giannis, et autres
Publié: (2022)

Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions
par: Abate, Alessandro, et autres
Publié: (2026)

Large Language Models for Explainable Decisions in Dynamic Digital Twins
par: Zhang, Nan, et autres
Publié: (2024)

Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
par: Zhang, Xiangyuan, et autres
Publié: (2023)

Learning Explainable and Better Performing Representations of POMDP Strategies
par: Bork, Alexander, et autres
Publié: (2024)

Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging
par: Ting, Lo Pang-Yun, et autres
Publié: (2024)

Planar Herding of Multiple Evaders with a Single Herder
par: Singh, Rishabh Kumar, et autres
Publié: (2025)

Incremental Data Driven Transfer Identification
par: Mukesh, N. Naveen, et autres
Publié: (2026)

Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process
par: Nasir, Ali, et autres
Publié: (2024)

Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes
par: Lee, Donghwan, et autres
Publié: (2023)

GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
par: Carrasco, Alejandro, et autres
Publié: (2026)

Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis
par: Zhao, Hong, et autres
Publié: (2024)

Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
par: Zhou, Tailin, et autres
Publié: (2024)

SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles
par: Han, Ye, et autres
Publié: (2024)

Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
par: Madahi, Seyed Soroush Karimi, et autres
Publié: (2024)

Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
par: Lee, Donghwan
Publié: (2026)

Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making
par: Xu, Zirui, et autres
Publié: (2022)

Decision Transformer as a Foundation Model for Partially Observable Continuous Control
par: Zhang, Xiangyuan, et autres
Publié: (2024)