Image de couverture de livre

Active Measuring in Reinforcement Learning With Delayed Negative Effects

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gao, Daiqi, Xu, Ziping, Rawashdeh, Aseel, Klasnja, Predrag, Murphy, Susan A.
Format:	Preprint
Publié:	2025
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

Harnessing Causality in Reinforcement Learning With Bagged Decision Times
par: Gao, Daiqi, et autres
Publié: (2024)

Optimizing Algorithms for Mobile Health Interventions with Active Querying Optimization
par: Rawashdeh, Aseel
Publié: (2025)

Statistical Reinforcement Learning in the Real World: A Survey of Challenges and Future Directions
par: Gazi, Asim H., et autres
Publié: (2026)

Doubly robust nearest neighbors in factor models
par: Dwivedi, Raaz, et autres
Publié: (2022)

Counterfactual inference in sequential experiments
par: Dwivedi, Raaz, et autres
Publié: (2022)

Online learning in bandits with predicted context
par: Guo, Yongyi, et autres
Publié: (2023)

The Fallacy of Minimizing Cumulative Regret in the Sequential Task Setting
par: Xu, Ziping, et autres
Publié: (2024)

Reinforcement Learning on Dyads to Enhance Medication Adherence
par: Xu, Ziping, et autres
Publié: (2025)

Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection
par: Gao, Daiqi, et autres
Publié: (2023)

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
par: Xu, Ziping, et autres
Publié: (2024)

Fusing Individualized Treatment Rules Using Secondary Outcomes
par: Gao, Daiqi, et autres
Publié: (2024)

A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage
par: Tan, Kevin, et autres
Publié: (2024)

Non-Stationary Latent Auto-Regressive Bandits
par: Trella, Anna L., et autres
Publié: (2024)

Reinforcement Learning: An Overview
par: Murphy, Kevin
Publié: (2024)

Explainable AI in Deep Learning-Based Prediction of Solar Storms
par: Rawashdeh, Adam O., et autres
Publié: (2025)

Dyadic Reinforcement Learning
par: Li, Shuangning, et autres
Publié: (2023)

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
par: Cheng, Yuwei, et autres
Publié: (2025)

Directly Forecasting Belief for Reinforcement Learning with Delays
par: Wu, Qingyuan, et autres
Publié: (2025)

Delay-Empowered Causal Hierarchical Reinforcement Learning
par: Zhao, Chenran, et autres
Publié: (2026)

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
par: Nofshin, Eura, et autres
Publié: (2024)

DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
par: Xia, Bo, et autres
Publié: (2024)

Inverse Delayed Reinforcement Learning
par: Zhan, Simon Sinong, et autres
Publié: (2024)

PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
par: Bajgar, Ondrej, et autres
Publié: (2025)

Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
par: Lee, Harin, et autres
Publié: (2026)

Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments
par: Liu, Ke, et autres
Publié: (2024)

Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning
par: Zhang, Haobin, et autres
Publié: (2024)

MiWaves Reinforcement Learning Algorithm
par: Ghosh, Susobhan, et autres
Publié: (2024)

Adaptive Active Learning for Regression via Reinforcement Learning
par: Nguyen, Simon D., et autres
Publié: (2026)

Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
par: Chasalow, Kyla, et autres
Publié: (2025)

Class-Balanced and Reinforced Active Learning on Graphs
par: Yu, Chengcheng, et autres
Publié: (2024)

Model-Free Active Exploration in Reinforcement Learning
par: Russo, Alessio, et autres
Publié: (2024)

On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
par: Deng, Wenlong, et autres
Publié: (2025)

Reinforcement Learning for Control Systems with Time Delays: A Comprehensive Survey
par: Neto, Armando Alves
Publié: (2026)

Handling Delay in Real-Time Reinforcement Learning
par: Anokhin, Ivan, et autres
Publié: (2025)

Adaptive Reinforcement Learning for Unobservable Random Delays
par: Wikman, John, et autres
Publié: (2025)

Reinforcement Learning Measurement Model
par: Xu, Wenqian, et autres
Publié: (2026)

2048: Reinforcement Learning in a Delayed Reward Environment
par: Saligram, Prady, et autres
Publié: (2025)

Dual Active Learning for Reinforcement Learning from Human Feedback
par: Liu, Pangpang, et autres
Publié: (2024)

Multimodal Negative Learning
par: Gong, Baoquan, et autres
Publié: (2025)

Active Query Selection for Crowd-Based Reinforcement Learning
par: Erskine, Jonathan, et autres
Publié: (2025)