Dynamic Programming

Cited by (1,021)

Items 601–700 of 1,021

1. A Shared Vision for Machine Learning in Neuroscience
   Vu, Mai-Anh T., Adalı, Tülay, Ba, Demba, Buzsáki, György, Carlson, David, Heller, Katherine, Liston, Conor, Rudin, Cynthia, Sohal, Vikaas S., Widge, Alik S. et al. · 2018 · The Journal of Neuroscience
2. Simulation Based Optimal Design
   Peter Müller · 2005 · Handbook of statistics
3. Rate control for robust video transmission over burst-error wireless channels
   Chi-Yuan Hsu, Antonio Ortega, Masoud R. K. Khansari · 1999 · IEEE Journal on Selected Areas in Communications
4. Optimum utilization of renewable energy sources in a remote area
   Ashok Kumar Akella, M.P. Sharma, Rajeshwer Prasad Saini · 2005 · Renewable and Sustainable Energy Reviews
5. Direct Method for Rapid Prototyping of Near-Optimal Aircraft Trajectories
   Oleg A. Yakimenko · 2000 · Journal of Guidance Control and Dynamics
6. Stochastic model predictive control — how does it work?
   Tor Aksel N. Heirung, Joel A. Paulson, Jared O’Leary, Ali Mesbah · 2017 · Computers & Chemical Engineering
7. Computing optimal policies for partially observable decision processes using compact representations
   Craig E. Boutilier, David Poole · 1996
8. Modelling and Interpretation of Architecture from Several Images
   Anthony Dick, Philip H. S. Torr, Roberto Cipolla · 2004 · International Journal of Computer Vision
9. New Challenges in Power System Restoration With Large Scale of Dispersed Generation Insertion
   Thị Thu Hà Phạm, Yvon Bésanger, Nourédine Hadjsaïd · 2009 · IEEE Transactions on Power Systems
10. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
    Katja Berger, Jochem Verrelst, Jean‐Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps‐Valls · 2020 · International Journal of Applied Earth Observation and Geoinformation
11. Markov decision processes with applications in wireless sensor networks: A survey
    ALSHEIKH, Abu Mohammad, Dinh Thai Hoang, Dusit Tao Niyato, Hwee-Pink Tan · 2015 · Singapore Management University Institutional Knowledge (InK) (Singapore Management University)
12. Optimal Growth Schedule of a Perennial Plant
    Yoh Iwasa, Dan Cohen · 1989 · The American Naturalist
13. Mathematical models for the control of pests and infectious diseases: A survey
    K. Wickwire · 1977 · Theoretical Population Biology
14. A simulation study of table-driven and on-demand routing protocols for mobile ad hoc networks
    S.-J. Lee, Mário Gerla, C.-K. Toh · 1999 · IEEE Network
15. Reinforcement learning in continuous time: advantage updating
    Leemon C. Baird · 1994 · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks
16. Reinforcement learning, conditioning, and the brain: Successes and challenges
    Tiago V. Maia · 2009 · Cognitive Affective & Behavioral Neuroscience
17. An exact algorithm for large multiple knapsack problems
    David Pisinger · 1999 · European Journal of Operational Research
18. Dynamic Programming and Graph Algorithms in Computer Vision
    Pedro F. Felzenszwalb, Ramin Zabih A · 2010 · IEEE Transactions on Pattern Analysis and Machine Intelligence
19. Maintenance optimization in industry 4.0
    Luca Pinciroli, Piero Baraldi, Enrico Zio · 2023 · Reliability Engineering & System Safety
20. Wave energy converter control by wave prediction and dynamic programming
    Guang Li, George H. Weiss, Markus Mueller, Stuart Townley, Mike R. Belmont · 2012 · Renewable Energy
21. Analog circuit design optimization through the particle swarm optimization technique
    Mourad Fakhfakh, Yann Cooren, Amin Sallem, Mourad Loulou, Patrick Siarry · 2009 · Analog Integrated Circuits and Signal Processing
22. Parameterized Tube Model Predictive Control
    Saša V. Raković, Basil Kouvaritakis, Mark Cannon, Christos Panos, Rolf Findeisen · 2012 · IEEE Transactions on Automatic Control
23. Dynamic stochastic programmingfor asset-liability management
    Giorgio Consigli, M. A. H. Dempster · 1998 · Annals of Operations Research
24. Optimal Pricing with Costly Adjustment: Evidence from Retail-Grocery Prices
    Margaret E. Slade · 1998 · The Review of Economic Studies
25. The Predictron: End-To-End Learning and Planning
    David Silver, Hado P. van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim Harley, Gabriel Dulac-Arnold, David Reichert, Neil C. Rabinowitz, André da Motta Salles Barreto et al. · 2016 · arXiv (Cornell University)
26. Optimal release strategies for biological control agents: an application of stochastic dynamic programming to population management
    Katriona Shea, Hugh Philip Possingham · 2000 · Journal of Applied Ecology
27. Optimal charge control strategies for stationary photovoltaic battery systems
    Jiahao Li, Michael Anton Danzer · 2014 · Journal of Power Sources
28. Evaluating reinforcement learning agents for anatomical landmark detection
    Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz et al. · 2019 · Medical Image Analysis
29. Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
    Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis · 2020 · IEEE Transactions on Wireless Communications
30. The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
    Angelos Chatzimparmpas, Rafael M. Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi A, Andreas Kerren · 2020 · Computer Graphics Forum
31. Quantum-inspired support vector machine
    Ding, Chen, Bao, Tian-Yi, Huang, He-Liang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
32. A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization
    Mickaël Binois, Nathan Wycoff · 2022 · ACM Transactions on Evolutionary Learning and Optimization
33. Sampling for data freshness optimization: Non-linear age functions
    Yin Jian Sun, Benjamin Cyr · 2019 · Journal of Communications and Networks
34. Numerical Solution of Continuous-State Dynamic Programs Using Linear and Spline Interpolation
    Sharon A. Johnson, Jery Russell Stedinger, Christine A. Shoemaker, Ying Li, José Alberto Tejada-Guibert · 1993 · Operations Research
35. Statistical Relational Artificial Intelligence
    Luc De Raedt, Kristian Kersting, Sriraam Natarajan, David Poole · 2016 · Synthesis lectures on artificial intelligence and machine learning
36. An efficient tabu search approach for the 0–1 multidimensional knapsack problem
    Saïd Hanafi, Arnaud Fréville · 1998 · European Journal of Operational Research
37. Efficient verification of real-time systems: compact data structure and state-space reduction
    Kim G. Larsen, Fredrik Larsson, Paul Pettersson, Wang Yi · 2002 · IEEE Real-Time Systems Symposium (RTSS)
38. Dijkstra's algorithm revisited: the dynamic programming connexion
    Moshe Sniedovich · 2006 · Minerva Access (University of Melbourne)
39. Planning with deadlines in stochastic domains
    Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson · 1993
40. An optimal replenishment policy for deteriorating items with time-varying demand and partial–exponential type – backlogging
    Sotirios Papachristos, K. Skouri · 2000 · Operations Research Letters
41. An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email
    Marilyn A. Walker, At&t Shannon Laboratory · 2000
42. A Q-learning-based dynamic channel assignment technique for mobile communication systems
    Junhong Nie, S. Haykin · 1999 · IEEE Transactions on Vehicular Technology
43. Traffic control and intelligent vehicle highway systems: a survey
    Lakshmi Dhevi Baskar, Bart De Schutter, J. Hellendoorn, Z. Papp · 2011 · IET Intelligent Transport Systems
44. Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State
    R. Andrew McCallum · 1995 · Elsevier eBooks
45. The complexity of optimal queueing network control
    Christos H. Papadimitriou, John N. Tsitsiklis · 2002 · IEEE Conference on Computational Complexity (CCC)
46. Convergence of discretization procedures in dynamic programming
    Dimitri P. Bertsekas · 1975 · IEEE Transactions on Automatic Control
47. MRP with flexible constraints: A fuzzy mathematical programming approach
    Josefa Mula, Raúl Poler, J.P. Garcia · 2005 · Fuzzy Sets and Systems
48. Refined Second Law of Thermodynamics for Fast Random Processes
    Erik M. Aurell, Krzysztof Gawędzki, Carlos Mejía-Monasterio, Roya Mohayaee, Paolo Muratore-Ginanneschi · 2012 · Journal of Statistical Physics
49. Fake news detection in multiple platforms and languages
    Pedro Faustini, Thiago Ferreira Covões · 2020 · Expert Systems with Applications
50. Review of Metaheuristic Optimization Algorithms for Power Systems Problems
    Ahmed M. Nassef, Mohammad Ali Abdelkareem, Hussein M. Maghrabie, Ahmad Baroutaji · 2023 · Sustainability
51. Accelerating Reinforcement Learning through Implicit Imitation
    B. Price, Craig E. Boutilier · 2003 · Journal of Artificial Intelligence Research
52. Modelling ‘evo‐devo’ with RNA
    Fontana, Walter · 2002 · BioEssays
53. CDDPG: A Deep-Reinforcement-Learning-Based Approach for Electric Vehicle Charging Control
    Feiye Zhang, Qingyu Yang, Dou An · 2020 · IEEE Internet of Things Journal
54. Dynamic potential-based reward shaping
    Sam Devlin, Daniel Kudenko⋆ · 2012 · Adaptive Agents and Multi-Agents Systems
55. Bitext maps and alignment via pattern recognition
    I. Dan Melamed · 1999
56. On an Investment-Consumption Model with Transaction Costs
    Marianne Akian, J. L. Menaldi, Agnès Sulem · 1996 · SIAM Journal on Control and Optimization
57. The Pontryagin maximum principle and optimal economic growth problems
    С.М. Асеев, Arkadii Viktorovich Kryazhimskii · 2007 · Proceedings of the Steklov Institute of Mathematics
58. Automatic Image Segmentation by Dynamic Region Merging
    Bo Peng, Lei Zhang A, David D. Zhang · 2011 · IEEE Transactions on Image Processing
59. Traveling Salesman Problem, Theory and Applications
    2010 · InTech eBooks
60. The Durable Goods Monopolist and Consistency with Increasing Costs
    Charles M. Kahn · 1988 · Econometrica
61. A novel approach for data integration and disease subtyping
    Tin Nguyen, Rebecca Tagett, Diana Diaz, Sorin Drăghici · 2017 · Genome Research
62. Costs of clinical mastitis with special reference to premature culling
    Anna‐Maija Heikkilä, Juha Nousiainen, Satu Pyörälä · 2011 · Journal of Dairy Science
63. HyperDex
    Robert Escriva, Bernard Wong, Emin Gün Sirer · 2012 · ACM SIGCOMM Conference (SIGCOMM)
64. Multireservoir Systems Optimization Using Genetic Algorithms: Case Study
    Mohammed Sharif, Robin Wardlaw · 2000 · Journal of Computing in Civil Engineering
65. Least squares algorithms under unimodality and non-negativity constraints
    Rasmus Bro, Nicholas D. Sidiropoulos · 1998 · Journal of Chemometrics
66. Random Vibrations with Impacts: A Review
    M. F. Dimentberg, Daniil V. Iourtchenko · 2004 · Nonlinear Dynamics
67. What you should know about approximate dynamic programming
    Warren B. Powell · 2009 · Naval Research Logistics (NRL)
68. Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures
    Sancho Salcedo‐Sanz · 2016 · Physics Reports
69. Adaptive Dynamic Programming for Discrete-Time Zero-Sum Games
    Qinglai Wei, Derong Liu, Qiao Lin, Ruizhuo Song · 2017 · IEEE Transactions on Neural Networks and Learning Systems
70. Planning treatment of ischemic heart disease with partially observable Markov decision processes
    Miloš Hauskrecht, Hamish Fraser · 2000 · Artificial Intelligence in Medicine
71. Using Expectation-Maximization for Reinforcement Learning
    Peter Dayan, Geoffrey E. Hinton · 1997 · Neural Computation
72. Learning multidimensional signal processing
    Hans E. Knutsson, Magnus Borga, Tomas Landelius · 2002 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
73. Airfoil Design Parameterization and Optimization Using Bézier Generative Adversarial Networks
    Wei Chen, Kevin N. Chiu, Mark Fuge · 2020 · AIAA Journal
74. Nonlinear Model Predictive Control: A Tutorial and Survey
    James B. Rawlings, Edward S. Meadows, Kenneth R. Muske · 1994 · IFAC Proceedings Volumes
75. Intelligent energy and thermal comfort management in grid-connected microgrids with heterogeneous occupancy schedule
    Christos D. Korkas, Simone Baldi, Iakovos Michailidis, Elias B. Kosmatopoulos · 2015 · Applied Energy
76. Dynamic time warping for off-line recognition of a small gesture vocabulary
    A. Corradini · 2002 · Analysis and Modeling of Faces and Gestures
77. Learning all optimal policies with multiple criteria
    Leon Barrett, Srini Narayanan · 2008 · International Conference on Machine Learning
78. Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice
    Frederik Ruelens, Bert Claessens, Salman Quaiyum, Bart De Schutter, Robert Babuška, Ronnie J. M. Belmans · 2016 · IEEE Transactions on Smart Grid
79. Deep reinforcement learning for long-term pavement maintenance planning
    Linyi Yao, Qiao Dong, Jiwang Jiang, Fujian Ni · 2020 · Computer-Aided Civil and Infrastructure Engineering
80. Solving very large weakly coupled Markov decision processes
    Nicolas Meuleau, Miloš Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig E. Boutilier · 1998
81. Robust adaptive dynamic programming for linear and nonlinear systems: An overview
    Zhong Jiang, Yu Jiang · 2013 · European Journal of Control
82. Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading
    Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
83. Branch-and-Bound Strategies for Dynamic Programming
    Thomas L. Morin, Roy E. Marsten · 1976 · Operations Research
84. Energy Management Systems for Electrified Powertrains: State-of-the-Art Review and Future Trends
    Atriya Biswas, Ali Emadi · 2019 · IEEE Transactions on Vehicular Technology
85. Modelling Methods for Pharmacoeconomics and Health Technology Assessment: An Overview and Guide
    Stahl, James E · 2008 · PharmacoEconomics
86. Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution
    Stephen Y. Chen, James Montgomery, Antonio Bolufé-Röhler · 2014 · Applied Intelligence
87. Many‐objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management
    Matteo Giuliani, Jonathan D. Herman, Andrea Francesco Castelletti, Patrick M. Reed · 2014 · Water Resources Research
88. Architectures for an Event Notification Service Scalable to Wide-area Networks
    Antonio Carzaniga, Luciano Baresi, Gino Biondini, F. Cattaneo, Thorna Humphries, Artur W. Klauser, Pier Luca Lanzi, Edoardo M. Marcora, Mark J. Maybee, Mattia Monga et al. · 2000
89. Uncertainty and the Management of Mallard Harvests
    Fred Allen Johnson, Clinton T. Moore, William Louis Kendall, James A. Dubovsky, David F. Caithamer, James Kelley, Byron K. Williams · 1997 · Journal of Wildlife Management
90. Invariant Imbedding and Mathematical Physics. I. Particle Processes
    Richard Bellman, Robert E. Kalaba, G. Milton Wing · 1960 · Journal of Mathematical Physics
91. Dynamic programming technique for optimizing fuel cell hybrid vehicles
    Dima A. Fares, Riad B. Chedid, Ferdinand Panik, Sami H. Karaki, Rabih A. Jabr · 2015 · International Journal of Hydrogen Energy
92. Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos
    Brandon A. Jones, Alireza Doostan, George H. Born · 2013 · Journal of Guidance Control and Dynamics
93. Clustering high dimensional data
    Ira Assent · 2012 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
94. Real-Time Neural Network-Based Gait Phase Estimation Using a Robotic Hip Exoskeleton
    Inseung Kang, Pratik Kunapuli, Aaron J. Young · 2019 · IEEE Transactions on Medical Robotics and Bionics
95. Intrusion detection in sensor networks: a non-cooperative game approach
    Afrand Agah, Sajal Kumar Das, Kalyan Basu, Mehran Asadi · 2004 · IEEE International Symposium on Network Computing and Applications (NCA)
96. Alleviating naive Bayes attribute independence assumption by attribute weighting
    Nayyar Abbas Zaidi, Jesús Cerquides, Mark Carman, Geoffrey I. Webb · 2013 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
97. Geometric Rectification of Camera-Captured Document Images
    Jian Liang, Daniel F. Dementhon, David Doermann · 2008 · IEEE Transactions on Pattern Analysis and Machine Intelligence
98. Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms
    Mădălina M. Drugan · 2018 · Swarm and Evolutionary Computation
99. Numerical methods for mixed-integer optimal control problems
    Sebastian Säger · 2006
100. Decision Making: From Neuroscience to Psychiatry
     Daeyeol Lee · 2013 · Neuron