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1. Regularized Greedy Gradient Q-Learning with Mobile Health Applications

Lu, Xiaoqi
2021
Theses
BiometryMobile appsSmoking cessationSubstance abuse--PreventionReinforcement learningMental healthMedical technology

2. Optimization Foundations of Reinforcement Learning

Bhandari, Jalaj
2020
Theses
Operations researchComputer scienceStatisticsMachine learning--Statistical methodsReinforcement learning

3. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts

Oh, Min-hwan
2020
Theses
Operations researchReinforcement learningMachine learningStatisticsDecision making

4. A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation

Wang, Kun; Sun, WaiChing; Du, Qiang
2019
Articles
ElastoplasticityElastoplasticity--Computer simulationReinforcement learningCombinatorial optimizationMaterials science

5. From Model-Based to Data-Driven Discrete-Time Iterative Learning Control

Song, Bing
2019
Theses
Mechanical engineeringProcess controlIterative methods (Mathematics)Reinforcement learning

6. Meta-modeling game for deriving theory-consistent, microstructure-based traction–separation laws via deep reinforcement learning

Wang, Kun; Sun, WaiChing
2019
Articles
Reinforcement learningCivil engineeringMechanics--Computer simulationGames

7. The Effect of the Establishment of Reinforcement Value for Math on Rate of Learning for Pre-Kindergarten Students

Maurilus, Emmy
2018
Theses
PsychologyReinforcement learningMathematics--Study and teaching (Preschool)Early childhood education--Research

8. The Effects of Conditioned Reinforcement for Reading on Reading Comprehension for 5th Graders

Cumiskey Moore, Colleen
2017
Theses
PsychologyReadingBehavioral assessmentReading comprehension--Study and teaching (Elementary)Reinforcement learning

9. The Identification and Establishment of Reinforcement for Collaboration in Elementary Students

Darcy, Laura Elizabeth
2017
Theses
Special educationPsychologyEducation, ElementaryBehavioral assessmentGroup work in educationReinforcement learning

10. Human and Machine Learning in Non-Markovian Decision Making

Clarke, Aaron Michael; Friedrich, Johannes; Tartaglia, Elisa M.; Herzog, Michael H.; Marchesotti, Silvia; Senn, Walter
2015
Articles
Learning strategiesReinforcement learningNeuronsDecision makingDecision making--Mathematical modelsMarkov processes--Mathematical modelsMarkov processesEducationPsychology