Dynamic Programming

Cited by (1,021)

Items 301–400 of 1,021

1. Global Methods in Optimal Control Theory
   V. F. Krotov · 1993 · Birkhäuser Boston eBooks
2. Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks
   Zheng Chen, Chris Chunting Mi, Jun Xu, Xianzhi Gong, Chenwen You · 2014 · IEEE Transactions on Vehicular Technology
3. The Early History of Portfolio Theory: 1600–1960
   Harry M. Markowitz · 1999 · Financial Analysts Journal
4. Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
   Bian, Tao, Jiang, Zhong-Ping · 2016 · Automatica
5. Predicting supply chain risks using machine learning: The trade-off between performance and interpretability
   George Baryannis, Samir Dani, Grigoris Antoniou · 2019 · Future Generation Computer Systems
6. Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning
   Frederik Ruelens, Bert Claessens, Stijn Vandael, Bart De Schutter, Robert Babuška, Ronnie J. M. Belmans · 2016 · IEEE Transactions on Smart Grid
7. Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
   Pierre-François Marteau · 2009 · IEEE Transactions on Pattern Analysis and Machine Intelligence
8. Optimized Backstepping for Tracking Control of Strict-Feedback Systems
   Guoxing Wen, Shuzhi Sam Ge, Fangwen Tu · 2018 · IEEE Transactions on Neural Networks and Learning Systems
9. Applied Stochastic Processes and Control for Jump-Diffusions: Modeling, Analysis and Computation
   Floyd B. Hanson · 2007 · Society for Industrial and Applied Mathematics eBooks
10. Relaxing Dynamic Programming
    B. Lincoln, Anders Rantzer · 2006 · IEEE Transactions on Automatic Control
11. Genome-wide synteny through highly sensitive sequence alignment: <i>Satsuma</i>
    Grabherr, Manfred G., Russell, Pamela, Meyer, Miriah, Mauceli, Evan, Alföldi, Jessica, Di Palma, Federica, Lindblad-Toh, Kerstin · 2010 · Bioinformatics
12. Machine learning for multi-omics data integration in cancer
    Zhaoxiang Cai, Rebecca C. Poulos, Jia Liu, Qing Zhong · 2022 · iScience
13. Automated Verification Techniques for Probabilistic Systems
    Vojtěch Forejt, Marta Kwiatkowska, Gethin Norman, David Parker · 2011 · Lecture notes in computer science
14. A General-Purpose Software Framework for Dynamic Optimization
    Joel Andersson · 2013 · Lirias
15. Implicit Quantile Networks for Distributional Reinforcement Learning
    Dabney, Will, Ostrovski, Georg, Silver, David, Munos, Rémi · 2018 · arXiv
16. Evaluation of optimal control for active and passive building thermal storage
    Gregor P. Henze, Clemens Felsmann, Gottfried Knabe · 2003 · International Journal of Thermal Sciences
17. Approximation of Pareto Optima in Multiple-Objective, Shortest-Path Problems
    A. R. Warburton · 1987 · Operations Research
18. Learning latent structure: carving nature at its joints
    Gershman, Samuel J, Niv, Yael · 2010 · Current Opinion in Neurobiology
19. Numerical Valuation of High Dimensional Multivariate American Securities
    Jérôme Barraquand, Didier Martineau · 1995 · Journal of Financial and Quantitative Analysis
20. Optimization of ECG Classification by Means of Feature Selection
    Tanis Mar, Sebastian Zaunseder, Juan Pablo Martí­nez, Mariano Llamedo, Rüdiger Poll · 2011 · IEEE Transactions on Biomedical Engineering
21. Emotion, decision making, and the amygdala.
    Seymour, Ben, Dolan, Ray · 2008 · Neuron
22. CALORIE RESTRICTION AND AGING: A LIFE-HISTORY ANALYSIS
    Daryl P. Shanley, Thomas B. L. Kirkwood · 2000 · Evolution
23. A unified framework for stochastic optimization
    Warren B. Powell · 2018 · European Journal of Operational Research
24. Dynamic Labour Force Participation of Married Women and Endogenous Work Experience
    Zvi Eckstein, Kenneth I. Wolpin · 1989 · The Review of Economic Studies
25. A survey of data fusion in smart city applications
    Lau, Billy Pik Lik, Marakkalage, Sumudu Hasala, Zhou, Yuren, Hassan, Naveed Ul, Yuen, Chau, Zhang, Meng, Tan, U-Xuan · 2019 · Information Fusion
26. Recent advances and emerging challenges of feature selection in the context of big data
    Verónica Bolón‐Canedo, Noelia Sánchez‐Maroño, Amparo Alonso‐Betanzos · 2015 · Knowledge-Based Systems
27. Contractual Arrangements for Intertemporal Trade
    Edward C. Prescott, Neil Wallace · 1987 · Project Muse (Johns Hopkins University)
28. Equivalence notions and model minimization in Markov decision processes
    Robert L. Givan, Thomas Dean, Matthew Greig · 2003 · Artificial Intelligence
29. Finding Optimal (s, S) Policies Is About As Simple As Evaluating a Single Policy
    Yu‐Sheng Zheng, Awi Federgruen · 1991 · Operations Research
30. Fuzzy Interval Analysis
    Didier Dubois A, Etienne E. Kerre, Radko Mesiar, Henri M. Prade · 2000 · The Handbooks of fuzzy sets series
31. Bounded-parameter Markov decision processes
    Robert L. Givan, Sonia M. Leach, Thomas Dean · 2000 · Artificial Intelligence
32. Deep Machine Learning—A New Frontier in Artificial Intelligence Research
    Itamar Arel, Derek C. Rose, Thomas P. Karnowski · 2010
33. High-dimensional data clustering
    Bouveyron, C., Girard, S., Schmid, C. · 2007 · Computational Statistics &amp; Data Analysis
34. Reinforcement Learning for Humanoid Robotics
    Jan Peters, Sethu Vijayakumar, Stefan Schaal · 2003
35. Chapter 51 Structural estimation of markov decision processes
    John P. Rust · 1994 · Handbook of econometrics
36. Structured decision making as a conceptual framework to identify thresholds for conservation and management
    Julien Martin, Michael C. Runge, James David Nichols, Bruce C. Lubow, William Louis Kendall · 2009 · Ecological Applications
37. An Introduction to Nonlinear Model Predictive Control
    Rolf Findeisen, Frank Allgöwer · 2002
38. Evidence of a predictive coding hierarchy in the human brain listening to speech
    Caucheteux, Charlotte, Gramfort, Alexandre, King, Jean-Rémi · 2023 · Nature Human Behaviour
39. Bayesian inversion for finite fault earthquake source models I—theory and algorithm
    Sarah E. Minson, M. Simons, James L. Beck · 2013 · Geophysical Journal International
40. Multivariate Phylogenetic Comparative Methods: Evaluations, Comparisons, and Recommendations
    Dean C. Adams, Michael L. Collyer · 2017 · Systematic Biology
41. A strategic review of electricity systems models
    Aoife M Foley, Brian Ó Gallachóir, Jin Hur, Ross Baldick, Eamon McKeogh · 2010 · Energy
42. Optimal escapement levels in stochastic and deterministic harvesting models
    William J. Reed · 1979 · Journal of Environmental Economics and Management
43. Learning to perceive and act by trial and error
    Whitehead, Steven D., Ballard, Dana H. · 1991 · Machine Learning
44. Modeling and optimization with Optimica and JModelica.org—Languages and tools for solving large-scale dynamic optimization problems
    Johan Åkesson, Karl-Erik Årzén, Magnus Gäfvert, Tove Bergdahl, Hubertus Tummescheit · 2009 · Computers & Chemical Engineering
45. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
    David Charte, Francisco Charte, Salvador García, María J. del Jesus, Francisco Herrera · 2017 · Information Fusion
46. Control: A perspective
    Karl J. A ̊ström, P. R. Kumar · 2014 · Automatica
47. Dynamic Inventory Policy with Varying Stochastic Demands
    Samuel Karlin · 1960 · Management Science
48. Evolutionary Dynamics of Multi-Agent Learning: A Survey
    Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers · 2015 · Journal of Artificial Intelligence Research
49. Motion planning under uncertainty using iterative local optimization in belief space
    Jur van den Berg, Sachin Patil, Ron Alterovitz · 2012 · The International Journal of Robotics Research
50. Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella
    Marcus Nguyen, Scott Wesley Long, Patrick F. McDermott, Randall J. Olsen, Robert Olson, Rick L. Stevens, Gregory H. Tyson, Shaohua Zhao, James J. Davis · 2018 · Journal of Clinical Microbiology
51. A link based network route choice model with unrestricted choice set
    Mogens Fosgerau, Emma Frejinger, Anders Karlström · 2013 · Transportation Research Part B Methodological
52. Robust hybrid control for autonomous vehicle motion planning
    Emilio Frazzoli, Munther A. Dahleh, Éric Féron · 2002 · IEEE Conference on Decision and Control (CDC)
53. The use of a one-stage dynamic programming algorithm for connected word recognition
    Hermann Ney · 1984 · IEEE Transactions on Acoustics Speech and Signal Processing
54. Minimizing the average cost of paging under delay constraints
    Christopher Rose, Roy D. Yates · 1995 · Wireless Networks
55. Game Theory in Wireless Networks: A Tutorial
    Márk Félegyházi, Jean‐Pierre Hubaux · 2006 · Infoscience (Ecole Polytechnique Fédérale de Lausanne)
56. Labeled RTDP: Improving the Convergence of Real-Time Dynamic Programming
    Blai Bonet, Héctor Geffner · 2003
57. The Effectiveness of Customized Promotions in Online and Offline Stores
    Jie Zhang, Michel Wedel · 2009 · Journal of Marketing Research
58. A Dynamic Programming Approach to a Lot Size Scheduling Problem
    Earl E. Bomberger · 1966 · Management Science
59. A Generalized dynamic programming principle and hamilton-jacobi-bellman equation
    Shige Peng A · 1992 · Stochastics and stochastics reports
60. Improved fast replanning for robot navigation in unknown terrain
    Sven Koenig, Maxim A. Likhachev · 2003 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
61. Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM
    Huidong Chen, Luca Albergante, Jonathan Y. Hsu, Caleb A. Lareau, Giosuè Lo Bosco, Jihong Guan, Shuigeng Zhou, Alexander N. Gorban, Daniel E. Bauer, Martin J. Aryee et al. · 2019 · Nature Communications
62. Dynamic programming and the calculus of variations
    Stuart E. Dreyfus · 1960 · Journal of Mathematical Analysis and Applications
63. An Economic Interpretation of Optimal Control Theory
    Robert Dorfman · 1997 · Edward Elgar Publishing eBooks
64. Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments
    Leong, Yuan Chang, Radulescu, Angela, Daniel, Reka, DeWoskin, Vivian, Niv, Yael · 2017 · Neuron
65. The Geometry of Musical Chords
    Dmitri Tymoczko · 2006 · Science
66. Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $\varepsilon$-Error Bound
    Fei–Yue Wang, Ning Jin, Derong Liu, Qinglai Wei · 2010 · IEEE Transactions on Neural Networks
67. Terahertz biophotonics as a tool for studies of dielectric and spectral properties of biological tissues and liquids
    Olga A. Smolyanskaya, Nikita V. Chernomyrdin, Коновко Андрей Андреевич, Kirill I. Zaytsev, Ilya A. Ozheredov, О. П. Черкасова, Maxim M. Nazarov, Jean-Paul Guillet, S. A. Kozlov, Yury V. Kistenev et al. · 2018 · Progress in Quantum Electronics
68. Autonomous navigation of stratospheric balloons using reinforcement learning
    Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, Jun Gong, Marlos C. Machado, Subhodeep Moitra, Sameera S. Ponda, Ziyu Wang · 2020 · Nature
69. New trends in exact algorithms for the 0–1 knapsack problem
    Silvano Martello, David Pisinger, Paolo Toth · 2000 · European Journal of Operational Research
70. Dynamic Treatment Regimes
    Bibhas Chakraborty, Susan A. Murphy · 2013 · Annual Review of Statistics and Its Application
71. Video object cut and paste
    Yin Li, Jian Zhong Sun, Heung‐Yeung Shum · 2005 · ACM Transactions on Graphics
72. Tractability of Multivariate Problems: Volume I: Linear Information
    Erich Novak, Henryk Woźniakowski · 2008
73. Kernel Methods and Machine Learning
    Sun‐Yuan Kung · 2014 · Cambridge University Press eBooks
74. Efficiently Solving the Redundancy Allocation Problem Using Tabu Search
    Sadan Kulturel-Konak, Alice E. Smith, David W. Coit · 2003 · IIE Transactions
75. Legendre Pseudospectral Approximations of Optimal Control Problems
    I. Michael Ross, Fariba Fahroo · 2004 · Lecture notes in control and information sciences
76. A Distributed Virtual Network Mapping Algorithm
    Ines Houidi, Wajdi Louati, Djamal Zeghlache · 2008 · International Conference on Communications
77. AntNet: A Mobile Agents Approach to Adaptive Routing
    Gianni A. Di · 1999
78. Reinforcement Learning in Large Discrete Action Spaces.
    Gabriel Dulac-Arnold, Richard Evans, Peter Sunehag, Ben Coppin · 2015 · arXiv (Cornell University)
79. Multi-agent discrete-time graphical games and reinforcement learning solutions
    Mohammed Abouheaf, Frank L. Lewis, Kyriakos G. Vamvoudakis, Sofie Haesaert, Robert Babuška · 2014 · Automatica
80. Nonlinear Markov Processes and Kinetic Equations
    Vassili Nikitich Kolokoltsov · 2010 · Cambridge University Press eBooks
81. The convergence of TD(?) for general ?
    Peter Dayan · 1992 · Machine Learning
82. Theory of oviposition strategy of parasitoids. I. Effect of mortality and limited egg number
    Yoh Iwasa, Yoshito Suzuki, Hiroyuki Matsuda · 1984 · Theoretical Population Biology
83. Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum
    Alison P. Galvani, Timothy C. Reluga, Gretchen B. Chapman · 2007 · Proceedings of the National Academy of Sciences
84. A Joint Dynamic Model of Fertility and Work of Married Women
    Marco Francesconi · 2002 · Journal of Labor Economics
85. Capital Market Equilibrium, Information Production, and Selecting Accounting Techniques: Theoretical Framework and Review of Empirical Work
    Nicholas J. Gonedes, Nicholas Dopuch · 1974 · Journal of Accounting Research
86. A Comparison of Several Linear Genetic Programming Techniques
    Electronic mail address: moltean@nessie.cs.ubbcluj.ro., Mihai Oltean, Crina Groşan · 2024 · Complex Systems
87. Autonomous helicopter control using reinforcement learning policy search methods
    James Andrew Bagnell, Jeff Schneider · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
88. Optimum Uniform Piecewise Linear Approximation of Planar Curves
    James George Dunham · 1986 · IEEE Transactions on Pattern Analysis and Machine Intelligence
89. A Learning Theoretic Approach to Energy Harvesting Communication System Optimization
    Pol Blasco, Denız Gündüz, Mischa Döhler · 2013 · IEEE Transactions on Wireless Communications
90. Retrieval-based neural source code summarization
    Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Liu, Xudong · 2020 · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
91. Hierarchical motor control in mammals and machines
    Merel, Josh, Botvinick, Matthew, Wayne, Greg · 2019 · Nature Communications
92. Purposive behavior acquisition for a real robot by vision-based reinforcement learning
    Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida, Koh Hosoda · 1996 · Machine Learning
93. A Deterministic Improved Q-Learning for Path Planning of a Mobile Robot
    Amit Konar, Indrani Goswami Chakraborty, Sapam Jitu Singh, Lakhmi C. Jain, Atulya K. Nagar · 2013 · IEEE Transactions on Systems Man and Cybernetics Systems
94. A real options evaluation model for the diffusion prospects of new renewable power generation technologies
    Gürkan Kumbaroğlu, Reinhard Madlener, Mustafa Demirel · 2006 · Energy Economics
95. Reinforcement learning design for cancer clinical trials
    Yufan Zhao, Michael R. Kosorok, Donglin Zeng · 2009 · Statistics in Medicine
96. A modified genetic algorithm for optimal control problems
    Zbigniew Michalewicz, Cezary Z. Janikow, Jacek B. Krawczyk · 1992 · Computers & Mathematics with Applications
97. Constrained differential dynamic programming and its application to multireservoir control
    Daniel M. Murray, Sidney J. Yakowitz · 1979 · Water Resources Research
98. A sequential procedure for multihypothesis testing
    Carl W. Baum, Venugopal V. Veeravalli · 1994 · IEEE Transactions on Information Theory
99. Optimal control of hybrid systems
    Sven Hedlund, Anders Rantzer · 2003 · IEEE Conference on Decision and Control (CDC)
100. New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
     Ying-Qi Zhao, Donglin Zeng, Eric B. Laber, Michael R. Kosorok · 2014 · Journal of the American Statistical Association