Dynamic Programming

Cited by (1,021)

Items 201–300 of 1,021

1. Large Occlusion Stereo
   Aaron Bobick, Stephen Sean Intille · 1999 · International Journal of Computer Vision
2. Dynamic modeling and control of supply chain systems: A review
   Haralambos Sarimveis, Panagiotis Patrinos, Christos D. Tarantilis, Chris T. Kiranoudis · 2007 · Computers & Operations Research
3. The multidimensional 0–1 knapsack problem: An overview
   Arnaud Fréville · 2003 · European Journal of Operational Research
4. Assessing farm innovations and responses to policies: A review of bio-economic farm models
   Sander J. C. Janssen, M.K. van Ittersum · 2007 · Agricultural Systems
5. Synchronization of batch trajectories using dynamic time warping
   Athanassios Kassidas, John F. MacGregor, Paul A. Taylor · 1998 · AIChE Journal
6. Contraction Mappings in the Theory Underlying Dynamic Programming
   Eric V. Denardo · 1967 · SIAM Review
7. The power of amnesia: Learning probabilistic automata with variable memory length
   Dana Ron, Yoram Singer, Naftali Tishby · 1997 · Machine Learning
8. Does conservation planning matter in a dynamic and uncertain world?
   Eli Meir, Sandy J. Andelman, Hugh Philip Possingham · 2004 · Ecology Letters
9. On the approximation of curves by line segments using dynamic programming
   Richard Bellman · 1961 · Communications of the ACM
10. Dynamic optimization of batch processes
    Balasubrahmanyan Srinivasan, Srinivas Palanki, Dominique Bonvin · 2002 · Computers & Chemical Engineering
11. Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints
    Derong Liu, Xiong Yang, Ding Wang, Qinglai Wei · 2015 · IEEE Transactions on Cybernetics
12. Geometric Tools for Computer Graphics
    Philip J. Schneider, David H. Eberly · 2002 · Thammasat University Digital Collections
13. Linear Programming and Sequential Decisions
    Alan S. Manne · 1960 · Management Science
14. Nonlinear Model Predictive Control
    Manfred Morari, Davide Martino Raimondo, Lalo Magni, Thoma, Manfred, Frank Allgöwer · 2009 · Lecture notes in control and information sciences
15. On the Complexity of Solving Markov Decision Problems
    Michael L. Littman, Thomas Dean, Leslie Pack Kaelbling · 2013 · arXiv (Cornell University)
16. An algorithm for optimal partitioning of data on an interval
    B. Jackson, J.D. Scargle, D. Barnes, S. Arabhi, A. Alt, P. Gioumousis, E. Gwin, P. San, L. Tan, Tun Tao Tsai · 2005 · IEEE Signal Processing Letters
17. Deep reinforcement learning for page-wise recommendations
    Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang · 2018 · ACM Conference on Recommender Systems (RecSys)
18. No Free Lunch Theorem: A Review
    Stavros P. Adam, Stamatios-Aggelos N. Alexandropoulos, Pãnos M. Pardalos, Michael N. Vrahatis · 2019 · Springer optimization and its applications
19. Models for Dynamics
    Jan C. Willems · 1989 · Dynamics reported
20. Where are the hard knapsack problems?
    David Pisinger · 2004 · Computers & Operations Research
21. A comprehensive survey of anomaly detection techniques for high dimensional big data
    Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Singh · 2020 · Journal Of Big Data
22. A survey of point-based POMDP solvers
    Guy Shani, Joëlle Pineau, Robert Kaplow · 2012 · Autonomous Agents and Multi-Agent Systems
23. Multicast routing in internetworks and extended LANs
    S. Deering · 1995 · ACM SIGCOMM Computer Communication Review
24. A computational substrate for incentive salience
    Samuel M. McClure, Nathaniel D. Daw, P. Read Montague · 2003 · Trends in Neurosciences
25. Cooperative Look-Ahead Control for Fuel-Efficient and Safe Heavy-Duty Vehicle Platooning
    Valerio Turri, Bart Besselink, Karl Henrik Johansson · 2016 · IEEE Transactions on Control Systems Technology
26. From Circuit Theory to System Theory
    L. Zadeh · 1962 · Proceedings of the IRE
27. Kernel Mean Embedding of Distributions: A Review and Beyond
    Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Bernhard Schölkopf · 2017 · Foundations and Trends® in Machine Learning
28. Markov decision processes
    Chelsea C. White, D. J. White · 1989 · European Journal of Operational Research
29. Chapter 8 Markov decision processes
    Martin L. Puterman · 1990 · Handbooks in operations research and management science
30. Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
    Nicolas Frémaux, Wulfram Gerstner · 2016 · Frontiers in Neural Circuits
31. OPTIMAL GAMBLING SYSTEMS FOR FAVORABLE GAMES
    Leo Breiman · 1962
32. If multi-agent learning is the answer, what is the question?
    Yoav Shoham, Rob Powers, Trond Grenager · 2007 · Artificial Intelligence
33. The Social Cost of Carbon with Economic and Climate Risks
    Yongyang Cai, Thomas S. Lontzek · 2018 · Journal of Political Economy
34. Autonomous agents modelling other agents: A comprehensive survey and open problems
    Albrecht, Stefano V., Stone, Peter · 2018 · Artificial Intelligence
35. Dasher---a data entry interface using continuous gestures and language models
    David J. Ward, Alan F. Blackwell, David Mackay · 2000 · ACM Symposium on User Interface Software and Technology (UIST)
36. The shortest route through a network with time-dependent internodal transit times
    Kenneth L. Cooke, Eric Halsey · 1966 · Journal of Mathematical Analysis and Applications
37. Using Randomization to Break the Curse of Dimensionality
    John P. Rust · 1997 · Econometrica
38. Dynamic Decision Theory and Probabilistic Information Processings
    Ward Edwards · 1962 · Human Factors The Journal of the Human Factors and Ergonomics Society
39. Identity authentication using improved online signature verification method
    Alisher Kholmatov, Berrin A. Yanikoglu · 2005 · Pattern Recognition Letters
40. A survey on swarm intelligence approaches to feature selection in data mining
    Bach Hoai Nguyen, Bing Xue, Mengjie Zhang · 2020 · Swarm and Evolutionary Computation
41. The Fastest Path through a Network with Random Time-Dependent Travel Times
    Randolph W. Hall · 1986 · Transportation Science
42. Probabilistic Algorithms in Robotics
    Sebastian Thrun · 2000
43. A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning
    She, Changyang, Sun, Chengjian, Gu, Zhouyou, Li, Yonghui, Yang, Chenyang, Poor, H. Vincent, Vucetic, Branka · 2021 · Proceedings of the IEEE
44. Towards a mathematical theory of cortical micro-circuits
    George, Dileep, Hawkins, Jeff · 2009 · PLoS Computational Biology
45. A review on optimization methods applied in energy-efficient building geometry and envelope design
    Farshad Kheiri · 2018 · Renewable and Sustainable Energy Reviews
46. Optimal control of diffusion processes and hamilton–jacobi–bellman equations part 2 : viscosity solutions and uniqueness
    Pierre‐Louis Lions · 1983 · Communications in Partial Differential Equations
47. Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs
    Jonathan D. Gammell, Siddhartha S Srinivasa, Timothy D. Barfoot · 2015
48. Footstep Planning for the Honda ASIMO Humanoid
    Joel E. Chestnutt, Meng Cheng Lau, German Cheung, James Kuffner, Jessica K. Hodgins, Takeo Kanade A · 2006 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
49. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
    Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin · 2018 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
50. Planning, Learning and Coordination in Multiagent Decision Processes
    Craig E. Boutilier · 1996
51. Beat Tracking by Dynamic Programming
    Daniel P. W. Ellis · 2007 · Journal of New Music Research
52. Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
    Ding Wang, Derong Liu, Qinglai Wei, Dongbin Zhao, Ning Jin · 2012 · Automatica
53. Stochastic Optimal Control
    Anastasios G. Malliaris · 1989 · Palgrave Macmillan UK eBooks
54. Deep learning in business analytics and operations research: Models, applications and managerial implications
    Kraus, Mathias, Feuerriegel, Stefan, Oztekin, Asil · 2020 · European Journal of Operational Research
55. Modeling Animal Guts as Chemical Reactors
    Deborah L. Penry, Peter A. Jumars · 1987 · The American Naturalist
56. SPUDD: Stochastic Planning using Decision Diagrams
    Jesse Hoey, Robert St‐Aubin, Alan J. Hu, Craig E. Boutilier · 2013 · arXiv (Cornell University)
57. Fuzzy inference system learning by reinforcement methods
    Lionel Jouffe · 1998 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
58. Correlated-Q learning
    Amy Greenwald, Keith Hall · 2003
59. Efficient Solution Algorithms for Factored MDPs
    Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman · 2003
60. Near-Surface Applied Geophysics
    Mark E. Everett · 2013 · Cambridge University Press eBooks
61. A Survey of Automated Techniques for Formal Software Verification
    Vijay D’Silva, Daniel Kroening, Georg Weißenbacher · 2008 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
62. Markowitz Revisited: Mean-Variance Models in Financial Portfolio Analysis
    Marc Christian Steinbach · 2001 · SIAM Review
63. Kernel-Based Reinforcement Learning
    Dirk Ormoneit, Saunak Sen · 2017 · Encyclopedia of Machine Learning and Data Mining
64. An introduction to Neural Networks
    Ben Kröse, Ben Kröse, Patrick van der Smagt, Patrick van der Smagt · 1993
65. A Statewide Pavement Management System
    Kamal Golabi, Ram B. Kulkarni, George Bert Way · 1982 · INFORMS Journal on Applied Analytics
66. Adaptive Critic Nonlinear Robust Control: A Survey
    Ding Wang, Haibo He, Derong Liu · 2017 · IEEE Transactions on Cybernetics
67. Engineering a software tool for gene structure prediction in higher organisms
    Gordon Gremme, Volker Brendel, Michael Edward Sparks, Stefan Kurtz · 2005 · Information and Software Technology
68. A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
    G. Tesauro, Nicholas K. Jong, R. Das, Mohamed N. Bennani · 2006 · IEEE International Conference on Autonomic Computing (ICAC)
69. Anytime Point-Based Approximations for Large POMDPs
    Joëlle Pineau, G. Gordon, Sebastian Thrun · 2006 · Journal of Artificial Intelligence Research
70. A framework for state-space estimation with uncertain models
    Ali H. Sayed · 2001 · IEEE Transactions on Automatic Control
71. Fast Direct Multiple Shooting Algorithms for Optimal Robot Control
    Moritz Diehl, H. Georg Bock, Holger Diedam, Pierre-Brice Wieber · 2007 · Springer eBooks
72. Pilot Point Methodology for Automated Calibration of an Ensemble of conditionally Simulated Transmissivity Fields: 1. Theory and Computational Experiments
    Banda S. RamaRao, A.M. LaVenue, Ghislain de Marsily, Melvin G. Marietta · 1995 · Water Resources Research
73. A Survey on ensemble learning under the era of deep learning
    Yongquan Yang, Haijun Lv, Ning Chen · 2022 · Artificial Intelligence Review
74. Reinforcement learning improves behaviour from evaluative feedback
    Michael L. Littman · 2015 · Nature
75. Optimal growth with many consumers
    Robert E. Lucas, Nancy L. Stokey · 1984 · Journal of Economic Theory
76. Benchmark Functions for the CEC’2013 Special Session and Competition on Large-Scale Global Optimization
    Xiaodong Li, Ke Tang, Mohammad Nabi Omidvar, Zhenyu Yang, Kai Qin · 2013
77. Bayesian Q-learning
    Richard Dearden, Nir Friedman, Stuart Russell · 1998
78. Ordered Upwind Methods for Static Hamilton--Jacobi Equations: Theory and Algorithms
    James A. Sethian, Alexander Vladimirsky · 2003 · SIAM Journal on Numerical Analysis
79. Task Space Regions: A framework for pose-constrained manipulation planning
    Berenson, Dmitry, Srinivasa, Siddhartha, Kuffner, James · 2011 · The International Journal of Robotics Research
80. The design and analysis of a computational model of cooperative coevolution
    Mitchell A. Potter · 1997
81. Random forests for global sensitivity analysis: A selective review
    Anestis Antoniadis, Sophie Lambert‐Lacroix, Jean‐Michel Poggi · 2020 · Reliability Engineering & System Safety
82. 3D Point Capsule Networks
    Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
83. Optimal Investment Policy and the Flexible Accelerator
    Robert E. Lucas · 1967 · International Economic Review
84. Improved Algorithms for Economic Lot Size Problems
    Alok Aggarwal, James K. Park · 1993 · Operations Research
85. Correlated Components of Ongoing EEG Point to Emotionally Laden Attention – A Possible Marker of Engagement?
    Jacek Dmochowski, Paul Sajda, Joao Dias, Lucas C. Parra · 2012 · Frontiers in Human Neuroscience
86. Efficient algorithms for combinatorial problems on graphs with bounded decomposability — A survey
    Stefan Arnborg · 1985 · BIT Numerical Mathematics
87. Stochastic dynamic programming with factored representations
    Boutilier, Craig, Dearden, Richard, Goldszmidt, Moisés · 2000 · Artificial Intelligence
88. A Bayesian Framework for Reinforcement Learning
    Malcolm J. A. Strens · 2000
89. Efficient progressive sampling
    Foster John Provost, David D. Jensen, Tim Oates · 1999 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
90. A review of smart building sensing system for better indoor environment control
    Bing Dong, Vishnu Prakash, Fan Feng, Zheng D. O’Neill · 2019 · Energy and Buildings
91. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
    Machado, Marlos C., Bellemare, Marc G., Talvitie, Erik, Veness, Joel, Hausknecht, Matthew, Bowling, Michael · 2018 · Journal of Artificial Intelligence Research
92. State and Output Feedback Nonlinear Model Predictive Control: An Overview
    Rolf Findeisen, Lars Imsland, Frank Allgöwer, Bjarne A. Foss · 2003 · European Journal of Control
93. Computational Aspects of Cooperative Game Theory
    Georgios Chalkiadakis, Edith Elkind, Michael Wooldridge · 2012 · Synthesis lectures on artificial intelligence and machine learning
94. Learning task-state representations
    Niv, Yael · 2019 · Nature Neuroscience
95. Optimization Methods in Finance
    Gérard Cornuéjols, Reha H. Tütüncü · 2006 · Cambridge University Press eBooks
96. Data-driven discovery of Koopman eigenfunctions for control
    Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton · 2021 · Machine Learning Science and Technology
97. An Estimable Dynamic Stochastic Model of Fertility and Child Mortality
    Kenneth I. Wolpin · 1984 · Journal of Political Economy
98. Dynamic optimal taxation, rational expectations and optimal control
    Finn E. Kydland, Edward C. Prescott · 1980 · Journal of Economic Dynamics and Control
99. Successor Features for Transfer in Reinforcement Learning
    André da Motta Salles Barreto, Will Dabney, Rémi Munos, Jonathan J. Hunt, Tom Schaul, David Silver, Hado P. van Hasselt · 2016 · arXiv (Cornell University)
100. Uniform manifold approximation and projection
     John Healy, Leland McInnes · 2024 · Nature Reviews Methods Primers