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1

Generating three binary addition algorithms using reinforcement programming
White, Spencer ; Martinez, Tony ; Rudolph, George
Proceedings of the 48th Annual Southeast Regional Conference. :1-6

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2

Reinforcement Learning and Dynamic Programming Using Function Approximators
Busoniu, Lucian ; Babuska, Robert ; De Schutter, Bart ; et al.
ISBN 9781439821091.

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3

Genetic programming methods for reinforcement learning
Babuska, Robert
Proceedings of the Genetic and Evolutionary Computation Conference. :2-2

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4

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5

Inverse Reinforcement Learning Using Just Classification and a Few Regressions
van der Laan, Lars ; Kallus, Nathan ; Bibaut, Aurélien

Machine Learning Econometrics Optimization and Control
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7

Sparse Temporal Difference Learning Using LASSO
Loth, Manuel ; Davy, Manuel ; Preux, Philippe
2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on. :352-359 Apr, 2007

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8

Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration
Narayanan, V. ; Jagannathan, S.
IEEE Transactions on Cybernetics IEEE Trans. Cybern. Cybernetics, IEEE Transactions on. 48(9):2510-2519 Sep, 2018

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9

Decentralized Data-based Control for Nonlinear Interconnected DC Microgrids
Song, Zhihao ; Jin, Li
IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society IEEE Industrial Electronics Society, IECON 2025 – 51st Annual Conference of the. :1-6 Oct, 2025

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10

An approximate Dynamic Programming based controller for an underactuated 6DoF quadrotor
Stingu, Emanuel ; Lewis, Frank L.
2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on. :271-278 Apr, 2011

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11

Theoretical analysis of a reinforcement learning based switching scheme
Heydari, Ali
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014 IEEE Symposium on. :1-6 Dec, 2014

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12

Reinforcement learning combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification
Quah, K.H. ; Quek, C. ; Leedham, G.
In Pattern Recognition 2005 38(4):513-526

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13

Off-policy reinforcement learning-based decentralized stabilization for interconnected nonlinear systems
Yu, Lin ; Xiong, Junlin ; Xie, Min
In Information Sciences February 2026 728

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14

Managing engineering systems with large state and action spaces through deep reinforcement learning
Andriotis, C.P. ; Papakonstantinou, K.G.
In Reliability Engineering and System Safety November 2019 191

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15

Convex Q-learning: Reinforcement learning through convex programming
Sitter, Sophie ; van de Berg, Damien ; Mowbray, Max ; et al.
In Computer Aided Chemical Engineering 2022 49:337-342

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16

Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators.
Yang, Qinmin ; Jagannathan, Sarangapani
IEEE Transactions on Systems, Man & Cybernetics: Part B. Apr2012, Vol. 42 Issue 2, p377-390. 14p.

APPROXIMATION theory DYNAMIC programming SIMULATION methods & mod... REINFORCEMENT learning NONLINEAR systems DISCRETE-time systems …
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17

Reinforcement learning algorithms for solving classification problems
Wiering, Marco A. ; van Hasselt, Hado ; Pietersma, Auke-Dirk ; et al.
2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on. :91-96 Apr, 2011

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18

Reinforcement Learning and Dynamic Programming Using Function Approximators
Lucian Busoniu ; Robert Babuska ; Bart De Schutter ; et al.

Dynamic programming Digital control systems
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19

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20

Learning Output Reference Model Tracking for Higher-Order Nonlinear Systems with Unknown Dynamics
Mircea-Bogdan Radac ; Timotei Lala
Algorithms, Vol 12, Iss 6, p 121 (2019)

approximate dynamic prog... reinforcement learning data-driven control model-free control reference trajectory tra... output reference model …
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