Dynamic Programming

Cited by (1,021)

Items 701–800 of 1,021

1. Dynamic treatment regimes: Technical challenges and applications
   Eric B. Laber, Daniel J. Lizotte, Min Qian, William E. Pelham, Susan A. Murphy · 2014 · Electronic Journal of Statistics
2. Continuous speech recognition using hidden Markov models
   Joseph Picone · 1990 · IEEE ASSP Magazine
3. The Simplex and Policy-Iteration Methods Are Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate
   Yinyu Ye Y · 2011 · Mathematics of Operations Research
4. Automated aerial suspended cargo delivery through reinforcement learning
   Aleksandra Faust, Ivana Palunko, Patricio J. Cruz, Rafael Fierro, Lydia Tapia · 2014 · Artificial Intelligence
5. Sequencing surgical cases in a day-care environment: An exact branch-and-price approach
   Brecht Cardoen, Erik L. Demeulemeester, Jeroen Beliën · 2008 · Computers & Operations Research
6. Task migration for mobile edge computing using deep reinforcement learning
   Cheng Zhang, Zixuan Zheng · 2019 · Future Generation Computer Systems
7. Pain: A Precision Signal for Reinforcement Learning and Control
   Ben Seymour · 2019 · Neuron
8. Large vocabulary off-line handwriting recognition: A survey
   Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen · 2003 · Pattern Analysis and Applications
9. Determination of a disassembly strategy
   K.D. Penev, Ad J. de Ron · 1996 · International Journal of Production Research
10. Benchmarking Batch Deep Reinforcement Learning Algorithms
    Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joëlle Pineau · 2019 · arXiv (Cornell University)
11. Revisiting Fundamentals of Experience Replay
    William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney · 2020 · arXiv (Cornell University)
12. Development of a novel forward dynamic programming method for weather routing
    Wei Shao, Peilin Zhou, Sew Kait Thong · 2011 · Journal of Marine Science and Technology
13. Predictive Reference Signal Generator for Hybrid Electric Vehicles
    Daniel Ambühl, Lino Guzzella · 2009 · IEEE Transactions on Vehicular Technology
14. Lifting the Curse of Dimensionality
    William P. Worzel, Arpit A. Almal, C. D. MacLean · 2007 · Springer eBooks
15. A review of reinforcement learning methodologies for controlling occupant comfort in buildings
    Mengjie Han, Ross May, Xingxing Zhang, Xinru Wang, Song Pan, Da Yan, Yuan Jin, Liguo Xu · 2019 · Sustainable Cities and Society
16. Optimal Mailing of Catalogs: A New Methodology Using Estimable Structural Dynamic Programming Models
    Fusun Feride Gonul, Meng Ze Shi · 1998 · Management Science
17. Optimal Dynamic Scheduling Policy for a Make-To-Stock Production System
    Albert Y. Ha · 1997 · Operations Research
18. Toward self‐driving processes: A deep reinforcement learning approach to control
    Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni · 2019 · AIChE Journal
19. Reinforcement Learning in Economics and Finance
    Arthur Charpentier A, Romuald Élie, Carl Remlinger · 2021 · Computational Economics
20. Functional diversity metrics using kernel density n ‐dimensional hypervolumes
    Stefano Mammola, Pedro Cardoso · 2020 · Methods in Ecology and Evolution
21. Optimal design and control of queues
    Lotfi Tadj, Gautam Choudhury · 2005 · Top
22. Optimal Hybridization in Two Parallel Hybrid Electric Vehicles using Dynamic Programming
    Olle Sundström, Lino Guzzella, Patrik Soltic · 2008 · IFAC Proceedings Volumes
23. An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages
    Hui‐Ling Yang, Jinn‐Tsair Teng, Maw‐Sheng Chern · 2009 · International Journal of Production Economics
24. Evolution of longevity through optimal resource allocation
    Mariusz Cichoń · 1997 · Proceedings of the Royal Society B Biological Sciences
25. Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
    David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire Jennifer Tomlin · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
26. Cities, Workers, and Wages: A Structural Analysis of the Urban Wage Premium
    Eric D. Gould · 2007 · The Review of Economic Studies
27. Global optimization for parameter estimation of differential-algebraic systems
    Michal Čižniar, Marián Podmajerský, Tomáš Hirmajer, Miroslav Fikar, M.A. Latifi · 2009 · Chemical Papers
28. A Review of Minimization Techniques for Nonlinear Functions
    H.A. Spang · 1962 · SIAM Review
29. Verification and planning for stochastic processes with asynchronous events
    Håkan L. S. Younes, Reid G. Simmons · 2004
30. Can language models be used for real-world urban-delivery route optimization?
    Yang Liu, Fanyou Wu, Zhiyuan Liu, Kai Wang, Feiyue Wang, Xiaobo Qu · 2023 · The Innovation
31. Optimal Resource Use Over Time with an Application to Ground Water
    Oscar R. Burt · 1964 · Management Science
32. An Optimistic Perspective on Offline Reinforcement Learning
    Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi · 2019 · arXiv (Cornell University)
33. An investigation of byte n-gram features for malware classification
    Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas · 2016 · Journal of Computer Virology and Hacking Techniques
34. A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations
    Philipp Grohs, Fabian Hornung, Arnulf Jentzen, Philippe von Wurstemberger · 2023 · Memoirs of the American Mathematical Society
35. Optimal Strategies in Home Energy Management System Integrating Solar Power, Energy Storage, and Vehicle-to-Grid for Grid Support and Energy Efficiency
    Anawach Sangswang, Mongkol Konghirun · 2020 · IEEE Transactions on Industry Applications
36. Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning
    E Weinan, Jiequn Han, Arnulf Jentzen · 2021 · Nonlinearity
37. A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
    Chatzilygeroudis, Konstantinos, Vassiliades, Vassilis, Stulp, Freek, Calinon, Sylvain, Mouret, Jean-Baptiste · 2020 · IEEE Transactions on Robotics
38. Long-term open pit mine production planning: a review of models and algorithms
    Morteza Osanloo, Javad Gholamnejad, Behrooz Karimi · 2008 · International Journal of Mining Reclamation and Environment
39. Optimal Control for Linear Systems With Multiple Time Delays in Control Input
    Michael Basin, Jesús Rodríguez-González · 2006 · IEEE Transactions on Automatic Control
40. Multiquadric Radial Basis Function Approximation Methods for the Numerical Solution of Partial Differential Equations
    Scott A. Sarra · 2009
41. Assembly-Line Balancing—Dynamic Programming with Precedence Constraints
    Michael Held, Richard M. Karp, Richard Shareshian · 1963 · Operations Research
42. Historical Perspective on Analysis and Control of Aeroelastic Responses
    Vivek Mukhopadhyay · 2003 · Journal of Guidance Control and Dynamics
43. Complexity of finite-horizon Markov decision process problems
    Martin Mundhenk, Judy Goldsmith, Christopher Lusena, Eric Allender · 2000 · Journal of the ACM
44. Teamwork in Self-Organized Robot Colonies
    Shervin Nouyan A, Roderich Groß, Michael Bonani C, Francesco Mondada C, Marco Dorigo · 2009 · IEEE Transactions on Evolutionary Computation
45. Random earnings differences, lifetime liquidity constraints, and altruistic intergenerational transfers
    John Laitner · 1992 · Journal of Economic Theory
46. The forest and agricultural sector optimization model (FASOM): model structure and policy applications.
    Darius M. Adams, Ralph J. Alig, J.M. Callaway, Bruce A. McCarl, Steven M. Winnett · 1996
47. Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control
    Bert Claessens, Peter Vrancx, Frederik Ruelens · 2016 · IEEE Transactions on Smart Grid
48. Partial order reductions for timed systems
    Johan E. Bengtsson, Bengt Jönsson, Johan Lilius, Wang Yi · 1998 · Lecture notes in computer science
49. Offline cursive script word recognition ? a survey
    Nathan Intrator, T. Steinherz, Ehud Rivlin · 1999 · International Journal on Document Analysis and Recognition (IJDAR)
50. A distributed algorithm of delay-bounded multicast routing for multimedia applications in wide area networks
    Xiaohua Jia · 1998 · IEEE/ACM Transactions on Networking
51. Growth‐Mortality Trade‐Offs and the Evolution of Juvenile Life Histories in the Alcidae
    Ronald C. Ydenberg · 1989 · Ecology
52. Optimal adaptation of equivalent factor of equivalent consumption minimization strategy for fuel cell hybrid electric vehicles under active state inequality constraints
    Jihun Han, Youngjin Park, Dongsuk Kum · 2014 · Journal of Power Sources
53. Modeling Medical Treatment Using Markov Decision Processes
    Schaefer, Andrew J., Bailey, Matthew D., Shechter, Steven M., Roberts, Mark S. · 2005 · International Series in Operations Research & Management Science
54. Analog circuit sizing via swarm intelligence
    Revna Acar Vural, Tülay Yıldırım · 2012 · AEU - International Journal of Electronics and Communications
55. The Optimal Time to Initiate HIV Therapy Under Ordered Health States
    Steven M. Shechter, Matthew D. Bailey, Andrew J. Schaefer, Mark S. Roberts · 2008 · Operations Research
56. High-precision quantum algorithms for partial differential equations
    Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander · 2021 · Quantum
57. Learning Maps for Indoor Mobile Robot Navigation.
    Sebastian Thrun, Arno Bücken · 1996
58. Fractional programming: Applications and algorithms
    Siegfried Schaible · 1981 · European Journal of Operational Research
59. Studies on the replacement policies in dairy cattle. II. Optimum policy and influence of changes in production and prices
    J.A.M. van Arendonk · 1985 · Livestock Production Science
60. An MDP-based Recommender System
    Guy Shani, Ronen I. Brafman, David E. Heckerman · 2012 · arXiv (Cornell University)
61. Direct reciprocity with costly punishment: Generous tit-for-tat prevails
    David Gertler Rand, Hisashi Ohtsuki, Martin A. Nowak · 2008 · Journal of Theoretical Biology
62. Adaptive Critic Learning Techniques for Engine Torque and Air–Fuel Ratio Control
    Derong Liu, Hossein Javaherian, O. Kovalenko, Ting Huang · 2008 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
63. Reinforcement learning based resource allocation in business process management
    Zhengxing Huang, Wil M. P. van der Aalst, Xudong Lü, Huilong Duan · 2010 · Data & Knowledge Engineering
64. Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle
    Quan Zhou, Ji Li, Bin Shuai, Huw Williams, Yinglong He, Ziyang Li, Hongming Xu, Fuwu Yan · 2019 · Applied Energy
65. Optimal Binary Identification Procedures
    Michael R. Garey · 1972 · SIAM Journal on Applied Mathematics
66. Measurement, filtering and control in quantum open dynamical systems
    V. P. Belavkin · 1999 · Reports on Mathematical Physics
67. Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification
    Mario E. Munich, Pietro Perona · 1999 · IEEE/CVF International Conference on Computer Vision (ICCV)
68. Dynamic Programming and the Reliability of Multicomponent Devices
    Richard Bellman, Stuart E. Dreyfus · 1958 · Operations Research
69. Assessment of Power System Reliability
    Marko Čepin · 2011 · Springer eBooks
70. Evolutionary computing in manufacturing industry: an overview of recent applications
    Victor Oduguwa, Ashutosh Tiwari, Rajkumar Roy · 2004 · Applied Soft Computing
71. A new algorithm for the solution of multi-state dynamic programming problems
    H. R. Howson, N. G. F. Sancho · 1975 · Mathematical Programming
72. Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks
    Hu, Ye, Chen, Mingzhe, Saad, Walid, Poor, H. Vincent, Cui, Shuguang · 2021 · IEEE Journal on Selected Areas in Communications
73. Curve-fitting with piecewise parametric cubics
    Michael F. Plass, Maureen Stone · 1983 · ACM SIGGRAPH Conference (SIGGRAPH)
74. Online Adaptive Critic Flight Control
    Silvio Ferrari, Robert F. Stengel · 2004 · Journal of Guidance Control and Dynamics
75. Inventory models with unreliable suppliersin a random environment
    Süleyman Özekıcı, Mahmut Parlar · 1999 · Annals of Operations Research
76. Self-Organizing Maps and Learning Vector Quantization for Feature Sequences
    Panu Juhani Somervuo, Teuvo Kohonen · 1999 · Neural Processing Letters
77. Survey of Motion Planning Literature in the Presence of Uncertainty: Considerations for UAV Guidance
    Navid Dadkhah, Bernard Mettler · 2011 · Journal of Intelligent & Robotic Systems
78. Algorithms for overcoming the curse of dimensionality for certain Hamilton–Jacobi equations arising in control theory and elsewhere
    Jérôme Darbon, Stanley Osher · 2016 · Research in the Mathematical Sciences
79. Tree based discretization for continuous state space reinforcement learning
    William Uther, Manuela Veloso · 1998
80. Using Feedback in Collaborative Reinforcement Learning to Adaptively Optimize MANET Routing
    Jim Dowling, Eoin Curran, Raymond Cunningham, Vinny Cahill · 2005 · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
81. How Should Control Theory Be Used to Calculate a Time-Consistent Government Policy?
    Daniel Cohen, Philippe Michel · 1988 · The Review of Economic Studies
82. A Search Decision Rule for the Aggregate Scheduling Problem
    William Howland Taubert · 1968 · Management Science
83. Singing to attract a mate: a stochastic dynamic game
    Alasdair Ian Houston, John Michael McNamara · 1987 · Journal of Theoretical Biology
84. Path formation in a robot swarm
    Shervin Nouyan A, Alexandre Campo, Marco Dorigo · 2007 · Swarm Intelligence
85. An adaptive routing algorithm for in-vehicle route guidance systems with real-time information
    Liping Fu · 2001 · Transportation Research Part B Methodological
86. A reinforcement learning model for supply chain ordering management: An application to the beer game
    S. Kamal Chaharsooghi, Jafar Heydari, Seyed Hessameddin Zegordi · 2008 · Decision Support Systems
87. Optimal Restoration of Distribution Systems Using Dynamic Programming
    R.E. Perez-Guerrero, Gerald Thomas Heydt, N.J. Jack, Brian Keel, A.R. Castelhano · 2008 · IEEE Transactions on Power Delivery
88. DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks
    Junpeng Wang, Liang Gou, Han‐Wei Shen, Hao Yang · 2018 · IEEE Transactions on Visualization and Computer Graphics
89. Powertrain Design and Control in Electrified Vehicles: A Critical Review
    Xiaosong Hu, Jie Han, Xiaolin Tang, Xianke Lin · 2021 · IEEE Transactions on Transportation Electrification
90. Strategy Iteration Is Strongly Polynomial for 2-Player Turn-Based Stochastic Games with a Constant Discount Factor
    Thomas Dueholm Hansen, Peter Bro Miltersen, Uri Zwick · 2013 · Journal of the ACM
91. Global Biofuels: Key to the Puzzle of Grain Market Behavior
    Brian D. Wright · 2014 · The Journal of Economic Perspectives
92. Classic Papers in Natural Resource Economics
    Chennat Gopalakrishnan · 2000 · Palgrave Macmillan UK eBooks
93. Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming
    Victoria C. P. Chen, David Ruppert, Christine A. Shoemaker · 1999 · Operations Research
94. Statistical machine translation : from single-word models to alignment templates
    Franz Josef Och · 2002 · RWTH Publications (RWTH Aachen)
95. A survey of remote-sensing big data
    Peng Liu · 2015 · Frontiers in Environmental Science
96. Ant colony optimization and its application to adaptive routing in telecommunication networks
    Gianni A. Di, Marco Dorigo · 2004
97. Climate change, uncertainty, and natural resource management
    James David Nichols, Mark D. Koneff, Patricia J. Heglund, Melinda G. Knutson, Mark E. Seamans, James E. Lyons, John M. Morton, Malcolm T. Jones, G. Scott Boomer, Byron K. Williams · 2011 · Journal of Wildlife Management
98. Complex decisions made simple: a primer on stochastic dynamic programming
    Lucile Marescot, Guillaume Chapron, Iadine Chadès, Paul L. Fackler, Christophe Duchamp, Éric Marboutin, Olivier Giménez · 2013 · Methods in Ecology and Evolution
99. An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems
    Dimitris Bertsimas, Ramazan Demir · 2002 · Management Science
100. Xavier: a robot navigation architecture based on partially observable Markov decision process models
     Sven Koenig, Reid G. Simmons · 1998