Dynamic Programming

Cited by (1,021)

Items 401–500 of 1,021

1. Computational Intelligence: Concepts to Implementations
   Russell C. Eberhart · 2007
2. Uncertainty, Information, and Sequential Experiments
   Morris H. DeGroot · 1962 · The Annals of Mathematical Statistics
3. Optimal Control of Boolean Control Networks
   Ettore Fornasini, Maria Elena Valcher · 2014 · IEEE Transactions on Automatic Control
4. Multi-Agent Reinforcement Learning:a critical survey
   Yoav Shoham, Rob Powers, Trond Grenager · 2003
5. Markov decision processes: a tool for sequential decision making under uncertainty
   Alagoz, Oguzhan, Hsu, Heather, Schaefer, Andrew J., Roberts, Mark S. · 2010 · Medical Decision Making
6. Thermodynamics as a theory of decision-making with information-processing costs
   Pedro A. Ortega, Daniel A. Braun · 2013 · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
7. Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?
   Magali Poncon Beffy, Denis Fougère, Arnaud Maurel · 2011 · The Review of Economics and Statistics
8. Revolutionizing Future Connectivity: A Contemporary Survey on AI-Empowered Satellite-Based Non-Terrestrial Networks in 6G
   Shadab Mahboob, Lingjia Liu · 2024 · IEEE Communications Surveys & Tutorials
9. Cloud service selection: State-of-the-art and future research directions
   Le Sun, Hai Dong, Farookh Khadeer Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang · 2014 · Journal of Network and Computer Applications
10. Tag and contour detection in tagged MR images of the left ventricle
    Moshe Guttmann, Jerry L. Prince, Elliot R. McVeigh · 1994 · IEEE Transactions on Medical Imaging
11. SPATIAL REORGANIZATION: A MODEL AND CONCEPT
    Donald G. Janelle · 1969 · Annals of the Association of American Geographers
12. The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces
    Andrew Moore, Christopher G. Atkeson · 1995 · Machine Learning
13. Dynamics systems vs. optimal control — a unifying view
    Schaal, Stefan, Mohajerian, Peyman, Ijspeert, Auke · 2007 · Progress in Brain Research
14. The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey
    Zvi Eckstein, Kenneth I. Wolpin · 1989 · The Journal of Human Resources
15. Curses, Tradeoffs, and Scalable Management: Advancing Evolutionary Multiobjective Direct Policy Search to Improve Water Reservoir Operations
    Matteo Giuliani, Andrea Francesco Castelletti, Francesca Pianosi, Emanuele Mason, Patrick M. Reed · 2015 · Journal of Water Resources Planning and Management
16. Experiments with Reinforcement Learning in Problems with Continuous State and Action Spaces
    Juan Carlos Santamaria, Richard S. Sutton, Ashwin Ram · 1997 · Adaptive Behavior
17. An application of heuristic search methods to edge and contour detection
    Alberto Martelli · 1976 · Communications of the ACM
18. Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation
    Christoph Tillmann, Hermann Ney · 2003 · Computational Linguistics
19. Specific Capital and Labor Turnover
    Dale T. Mortensen · 1978 · The Bell Journal of Economics
20. Reinforcement learning for robot soccer
    Martin Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange · 2009 · Autonomous Robots
21. Optimal search on a technology landscape
    Stuart Alan Kauffman, José Lobo, William G. Macready · 2000 · Journal of Economic Behavior & Organization
22. A Survey on Text Classification Algorithms: From Text to Predictions
    Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli · 2022 · Information
23. A Guide to In Silico Drug Design
    Yiqun Chang, Bryson A. Hawkins, Jonathan J. Du, Paul W. Groundwater, David E. Hibbs, Felcia Lai · 2022 · Pharmaceutics
24. Finding approximate POMDP solutions through belief compression
    Roy, N., Gordon, G., Thrun, S. · 2005 · Journal of Artificial Intelligence Research
25. A Minimal Algorithm for the 0-1 Knapsack Problem
    David Pisinger · 1997 · Operations Research
26. Spatiotemporal state lattices for fast trajectory planning in dynamic on-road driving scenarios
    Julius Ziegler, Christoph Stiller · 2009 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
27. Multiple Sequence Alignment in Phylogenetic Analysis
    Aloysius J. Phillips, Daniel A. Janies, Ward C. Wheeler · 2000 · Molecular Phylogenetics and Evolution
28. A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
    Douglas Rodrigues, Luis A. M. Pereira, Rodrigo Yuji Mizobe Nakamura, Kelton Augusto Pontara da Costa, Xin‐She Yang, André Nunes de Souza, João Paulo Papa · 2013 · Expert Systems with Applications
29. Component sizing of a plug-in hybrid electric powertrain via convex optimization
    Nikolce Murgovski, Lars Mardh Johannesson, Jonas Sigfrid Sjoberg, Bo S. Egardt · 2012 · Mechatronics
30. Three ways to solve partial differential equations with neural networks — A review
    Jan Blechschmidt, Oliver G. Ernst · 2021 · GAMM-Mitteilungen
31. Discrete Dynamic Programming with Sensitive Discount Optimality Criteria
    Arthur F. Veinott · 1969 · The Annals of Mathematical Statistics
32. Unifying Count-Based Exploration and Intrinsic Motivation
    Bellemare, Marc G., Srinivasan, Sriram, Ostrovski, Georg, Schaul, Tom, Saxton, David, Munos, Remi · 2016 · arXiv
33. The Dynamic Effect of Discounting on Sales: Empirical Analysis and Normative Pricing Implications
    Praveen K. Kopalle, Carl F. Mela, Lawrence C. Marsh · 1999 · Marketing Science
34. A Method for Obtaining Skeletons Using a Quasi-Euclidean Distance
    Ugo Montanari · 1968 · Journal of the ACM
35. Plan recognition as planning
    Miquel Ramírez, Héctor Geffner · 2009
36. Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts
    Beth A. Faber, Jery Russell Stedinger · 2001 · Journal of Hydrology
37. Relaxed variational problems
    Jack Warga · 1962 · Journal of Mathematical Analysis and Applications
38. Rule-based energy management strategies for hybrid vehicles
    Théo Hofman, Maarten Steinbuch, R. van Druten, A.F.A. Serrarens · 2007 · International Journal of Electric and Hybrid Vehicles
39. Optimal Investment and Consumption Strategies Under Risk, an Uncertain Lifetime, and Insurance
    Nils H. Hakansson · 1969 · International Economic Review
40. Occlusions and binocular stereo
    Davi Geiger, Bruce Ladendorf, Alan Yuille · 1992 · Lecture notes in computer science
41. Trajectory generation for swing-free maneuvers of a quadrotor with suspended payload: A dynamic programming approach
    Ivana Palunko, Rafael Fierro, Patricio J. Cruz · 2012 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
42. Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
    Alexandre A. Varnek, Igor I. Baskin · 2012 · Journal of Chemical Information and Modeling
43. Programming pearls
    Jon Louis Bentley · 1984 · Communications of the ACM
44. Reinforcement Learning Based EV Charging Management Systems–A Review
    Heba M. Abdullah, Adel Gastli, Lazhar Ben‐Brahim · 2021 · IEEE Access
45. Robot juggling: implementation of memory-based learning
    Stefan Schaal, Christopher G. Atkeson · 1994 · IEEE Control Systems
46. A framework for the functional analysis of behaviour
    Alasdair Ian Houston, John Michael McNamara · 1988 · Behavioral and Brain Sciences
47. A predictive machine learning approach for microstructure optimization and materials design
    Ruoqian Liu, Abhishek Kumar, Zhengzhang Chen, Ankit Agrawal, Veera Sundararaghavan, Alok Choudhary · 2015 · Scientific Reports
48. Monte Carlo POMDPs
    Sebastian Thrun · 1999 · neural information processing systems
49. A Survey of Deep RL and IL for Autonomous Driving Policy Learning
    Zeyu Zhu, Huijing Zhao · 2021 · IEEE Transactions on Intelligent Transportation Systems
50. Regret Bounds for the Adaptive Control of Linear Quadratic Systems
    Yasin Abbasi-Yadkori, Csaba Szepesvári · 2011
51. Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
    Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos A. Vlassis · 2008 · Lecture notes in computer science
52. External Control in Markovian Genetic Regulatory Networks
    Aniruddha A. Datta, Ashish Choudhary, Michael L. Bittner, Edward R. Dougherty · 2003 · Machine Learning
53. The neurobiology of punishment
    Seymour, Ben, Singer, Tania, Dolan, Ray · 2007 · Nature Reviews Neuroscience
54. Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
    Heinrich, Johannes, David Silver · 2016 · arXiv (Cornell University)
55. Algae and microalgae biorefinery
    Rocío Gallego, Mónica Bueno, J. A. Mendiola · 2019 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
56. Hidden Markov models: a guided tour
    A. Poritz · 2003 · IEEE International Conference on Acoustics Speech and Signal Processing
57. Local similarity in RNA secondary structures
    M. Hochsmann, Thomas Töller, Robert Giegerich, Stefan Kurtz · 2004 · IEEE Computational Systems Bioinformatics Conference (CSB)
58. 1 Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems
    Yu Jiang, Student Member, Zhong‐Ping Jiang · 2016
59. A review of physics-based machine learning in civil engineering
    Shashank Reddy Vadyala, Sai Nethra Betgeri, John C. Matthews, Elizabeth Matthews · 2021 · Results in Engineering
60. Can Optimal Resource Allocation Models Explain Why Ectotherms Grow Larger in Cold?
    Jan Kozłowski · 2004 · Integrative and Comparative Biology
61. The complete optimization of a human motion
    HERBERT HATZE · 1976 · Mathematical Biosciences
62. On Implementation of Dynamic Programming for Optimal Control Problems with Final State Constraints
    O. Sundström, Daniel Ambühl, Lino Guzzella · 2009 · Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
63. Aligning sentences in bilingual corpora using lexical information
    Stanley F. Chen · 1993 · Proceedings of the conference - Association for Computational Linguistics. Meeting
64. Map-based navigation in mobile robots:
    Jean-Arcady Meyer, David Filliat · 2003 · Cognitive Systems Research
65. Distributed control of reactive power flow in a radial distribution circuit with high photovoltaic penetration
    Konstantin S. Turitsyn, Petr Šulc, Scott Backhaus, Michael Chertkov · 2010 · IEEE Power Engineering Society General Meeting
66. Nonlinear Perron–Frobenius Theory
    Bas Lemmens, Roger D. Nussbaum · 2012 · Cambridge University Press eBooks
67. Variational methods in problems of control and programming
    Leonard D. Berkovitz · 1961 · Journal of Mathematical Analysis and Applications
68. An Integer Programming Approach to the Vehicle Scheduling Problem
    B. A. Foster, David M. Ryan · 1976 · Journal of the Operational Research Society
69. Imputing a convex objective function
    Arezou Keshavarz, Yang Wang, Stephen Boyd · 2011 · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications
70. A novel dual iterative Q-learning method for optimal battery management in smart residential environments
    Qinglai Wei, Derong Liu, Guang Shi · 2014 · IEEE Transactions on Industrial Electronics
71. Developments and directions in speech recognition and understanding, Part 1 [DSP Education]
    Janet M. Baker, Li Fei Deng, James Robert Glass, Sanjeev P. Khudanpur, Chin-hui Lee, N. Morgan, Douglas D. O’Shaughnessy · 2009 · IEEE Signal Processing Magazine
72. Adaptive Actor–Critic Design-Based Integral Sliding-Mode Control for Partially Unknown Nonlinear Systems With Input Disturbances
    Quan‐Yong Fan, Guang‐Hong Yang · 2015 · IEEE Transactions on Neural Networks and Learning Systems
73. Population Fluctuations, Reproductive Costs and Life-History Tactics in Female Soay Sheep
    T. H. Clutton‐Brock, Ian R. Stevenson, Paul Bennett Marrow, Andrew D. C. MacColl, Alasdair Ian Houston, JM McNamara · 1996 · Journal of Animal Ecology
74. Multiobjective A*
    Bradley S. Stewart, Chelsea C. White · 1991 · Journal of the ACM
75. Hierarchical Solution of Markov Decision Processes using Macro-actions
    Miloš Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig E. Boutilier · 2013 · arXiv (Cornell University)
76. Adaptive traffic signal control using approximate dynamic programming
    Chen Cai, Chi Kwong Wong, Benjamin G. Heydecker · 2009 · Transportation Research Part C Emerging Technologies
77. Dynamic treatment regimes: practical design considerations
    Philip William Lavori, Ree Dawson · 2004 · Clinical Trials
78. Demystifying Optimal Dynamic Treatment Regimes
    Erica E. M. Moodie, Thomas S. Richardson, David A. Stephens · 2007 · Biometrics
79. Dynamic programming and stochastic control processes
    Richard Bellman · 1958 · Information and Control
80. UAV Path Planning in a Dynamic Environment via Partially Observable Markov Decision Process
    Shankarachary Ragi, Edwin K. P. Chong · 2013 · IEEE Transactions on Aerospace and Electronic Systems
81. Machine learning for quantum matter
    Juan Carrasquilla · 2020 · Advances in Physics X
82. Computational strategies for object recognition
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83. Catalysts Deactivation by Coking
    E.E. Wolf, F. Alfani · 1982 · Catalysis Reviews
84. Chapter 7 The economics of fertility in developed countries
    Joseph Hotz, V., Klerman, Jacob Alex, Willis, Robert J. · 1997 · Handbook of Population and Family Economics
85. Design of an efficient algorithm for fuel-optimal look-ahead control
    Erik Hellström, Jan Åslund, Lars Nielsen · 2010 · Control Engineering Practice
86. A delayed-recruitment model of population dynamics, with an application to baleen whale populations
    Colin Clark · 1976 · Journal of Mathematical Biology
87. Self-Supervised Reinforcement Learning for Recommender Systems
    Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose · 2020 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
88. Distributed Q-Learning for Aggregated Interference Control in Cognitive Radio Networks
    Ana Galindo‐Serrano, Lorenza Giupponi · 2010 · IEEE Transactions on Vehicular Technology
89. Nonlinear Model Predictive Control
    Alexandra Grancharova, Tor Arne Johansen · 2012 · Lecture notes in control and information sciences
90. Natural selection of life history attributes: An analytical approach
    Howard M. Taylor, Robert S. Gourley, Charles E. Lawrence, Robert S. Kaplan · 1974 · Theoretical Population Biology
91. Optimal Adaptive Policies for Sequential Allocation Problems
    Apostolos Burnetas, Michael N. Katehakis · 1996 · Advances in Applied Mathematics
92. Markovian Decision Processes with Uncertain Transition Probabilities
    Jay Satia, Roy E. Lave · 1973 · Operations Research
93. An object-oriented representation for efficient reinforcement learning
    Diuk, Carlos, Cohen, Andre, Littman, Michael L. · 2008 · Proceedings of the 25th international conference on Machine learning - ICML '08
94. Learning motor primitives for robotics
    Jens Kober, Jan Peters · 2009 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
95. FASTEST PATHS IN TIME-DEPENDENT NETWORKS FOR INTELLIGENT VEHICLE-HIGHWAY SYSTEMS APPLICATION∗
    David E. Kaufman, Robert Longworth Smith · 1993 · IVHS journal
96. Intelligent environment for monitoring Alzheimer patients, agent technology for health care
    Juan M. Corchado, Javier Bajo, Yanira De Paz, Dante I. Tapia · 2007 · Decision Support Systems
97. Nonlinear Model Predictive Control
    Lars Grüne, Jürgen Pannek · 2016 · Communications and control engineering/Communications and control engineering series
98. A Guide to Heuristic-based Path Planning
    Dave Ferguson, Maxim A. Likhachev, Anthony Stentz · 2005
99. The Economic Lot-Scheduling Problem: Achieving Feasibility Using Time-Varying Lot Sizes
    Gregory R. Dobson · 1987 · Operations Research
100. Optimal Inventory Under Stochastic Demand with Two Supply Options
     Alice S. Whittemore, Sam C. Saunders · 1977 · SIAM Journal on Applied Mathematics