Image de couverture de livre

Monitored Markov Decision Processes

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Parisi, Simone, Mohammedalamen, Montaser, Kazemipour, Alireza, Taylor, Matthew E., Bowling, Michael
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Model-Based Exploration in Monitored Markov Decision Processes
par: Kazemipour, Alireza, et autres
Publié: (2025)

Generalization in Monitored Markov Decision Processes (Mon-MDPs)
par: Mohammedalamen, Montaser, et autres
Publié: (2025)

Beyond Optimism: Exploration With Partially Observable Rewards
par: Parisi, Simone, et autres
Publié: (2024)

Learning to Be Cautious
par: Mohammedalamen, Montaser, et autres
Publié: (2021)

A Systematic Investigation of The RL-Jailbreaker in LLMs
par: Mohammedalamen, Montaser, et autres
Publié: (2026)

Federated Control in Markov Decision Processes
par: Jin, Hao, et autres
Publié: (2024)

Generalized Linear Markov Decision Process
par: Zhang, Sinian, et autres
Publié: (2025)

Concentration of Cumulative Reward in Markov Decision Processes
par: Sayedana, Borna, et autres
Publié: (2024)

Learning in Markov Decision Processes with Exogenous Dynamics
par: Maran, Davide, et autres
Publié: (2026)

Optimal Decision Tree Policies for Markov Decision Processes
par: Vos, Daniël, et autres
Publié: (2023)

Policy Testing in Markov Decision Processes
par: Ariu, Kaito, et autres
Publié: (2025)

Markov Decision Processes under External Temporal Processes
par: Ayyagari, Ranga Shaarad, et autres
Publié: (2023)

Horizon-Free Regret for Linear Markov Decision Processes
par: Zhang, Zihan, et autres
Publié: (2024)

Learning Utilities from Demonstrations in Markov Decision Processes
par: Lazzati, Filippo, et autres
Publié: (2024)

Achieving Constant Regret in Linear Markov Decision Processes
par: Zhang, Weitong, et autres
Publié: (2024)

The regret lower bound for communicating Markov Decision Processes
par: Boone, Victor, et autres
Publié: (2025)

An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
par: Javurek, Emil, et autres
Publié: (2025)

Initial Distribution Sensitivity of Constrained Markov Decision Processes
par: Tercan, Alperen, et autres
Publié: (2025)

Improving Controller Generalization with Dimensionless Markov Decision Processes
par: Charvet, Valentin, et autres
Publié: (2025)

Policy Gradient for Robust Markov Decision Processes
par: Wang, Qiuhao, et autres
Publié: (2024)

No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
par: Bayrooti, Jasmine, et autres
Publié: (2025)

Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes
par: Metelli, Alberto Maria
Publié: (2024)

Transition Constrained Bayesian Optimization via Markov Decision Processes
par: Folch, Jose Pablo, et autres
Publié: (2024)

Fair Resource Allocation in Weakly Coupled Markov Decision Processes
par: Tu, Xiaohui, et autres
Publié: (2024)

Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
par: De Santi, Riccardo, et autres
Publié: (2024)

Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
par: Chen, Yu, et autres
Publié: (2026)

A Markov Decision Process for Variable Selection in Branch & Bound
par: Strang, Paul, et autres
Publié: (2025)

Transition Transfer $Q$-Learning for Composite Markov Decision Processes
par: Chai, Jinhang, et autres
Publié: (2025)

Learning Markov Decision Processes under Fully Bandit Feedback
par: Zhuo, Zhengjia, et autres
Publié: (2026)

Logarithmic Regret of Exploration in Average Reward Markov Decision Processes
par: Boone, Victor, et autres
Publié: (2025)

Rate-Optimal Policy Optimization for Linear Markov Decision Processes
par: Sherman, Uri, et autres
Publié: (2023)

Laplacian Representations for Decision-Time Planning
par: Shehmar, Dikshant, et autres
Publié: (2026)

Weakly Time-Coupled Approximation of Markov Decision Processes
par: Soheili, Negar, et autres
Publié: (2026)

Online Markov Decision Processes with Terminal Law Constraints
par: Moreno, Bianca Marin, et autres
Publié: (2026)

Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraints
par: Stradi, Francesco Emanuele, et autres
Publié: (2024)

Optimistic Actor-Critic with Parametric Policies for Linear Markov Decision Processes
par: Lin, Max Qiushi, et autres
Publié: (2026)

A Theoretical Analysis of State Similarity Between Markov Decision Processes
par: Tao, Zhenyu, et autres
Publié: (2025)

Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
par: Hosseinkhan-Boucher, Rémy, et autres
Publié: (2025)

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes
par: Montenegro, Alessandro, et autres
Publié: (2025)

Interaction-Grounded Learning for Contextual Markov Decision Processes with Personalized Feedback
par: Zhang, Mengxiao, et autres
Publié: (2026)