Dynamic Programming

Cited by (1,021)

Items 801–900 of 1,021

1. Approximating optimal policies for partially observable stochastic domains
   Ronald Parr, Stuart Russell · 1995
2. A general framework for Dynamic Emulation Modelling in environmental problems
   Andrea Francesco Castelletti, Stefano Galelli, Marco Ratto, Rodolfo Soncini‐Sessa, Peter C. Young · 2012 · Environmental Modelling & Software
3. Evaluation of the risk and benefit of the complementary operation of the large wind-photovoltaic-hydropower system considering forecast uncertainty
   Qiaofeng Tan, Xin Wen, Yuanliang Sun, Xiaohui Lei, Zhenni Wang, Guanghua Qin · 2021 · Applied Energy
4. Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic review
   Soheil Mohseni, Alan C. Brent, Scott Kelly, Will Neil Browne · 2022 · Renewable and Sustainable Energy Reviews
5. On the Convergence of Policy Iteration in Stationary Dynamic Programming
   Martin L. Puterman, Shelby L. Brumelle · 1979 · Mathematics of Operations Research
6. Coastal Navigation with Mobile Robots
   Nicholas Roy, Sebastian Thrun · 1999
7. Bias and Variance Approximation in Value Function Estimates
   Shie Mannor, Duncan I. Simester, Peng Sun, John N. Tsitsiklis · 2007 · Management Science
8. Learning to Play the Game of Chess
   Sebastian Thrun · 1994
9. Determining the Acceptance of Cadaveric Livers Using an Implicit Model of the Waiting List
   Oğuzhan Alagöz, Lisa M. Maillart, Andrew J. Schaefer, Mark S. Roberts · 2007 · Operations Research
10. Sequence learning: from recognition and prediction to sequential decision making
    Ruiji Sun, Clyde Lee Giles · 2001 · IEEE Intelligent Systems
11. Dynamic repositioning strategy in a bike-sharing system; how to prioritize and how to rebalance a bike station
    Benjamin Legros · 2018 · European Journal of Operational Research
12. Cognitive Dynamic Systems: Perception-action Cycle, Radar and Radio
    S. Haykin · 2012
13. The Energy Box: Locally Automated Optimal Control of Residential Electricity Usage
    Daniel Livengood, Richard Charles Larson · 2009 · Service Science
14. Bibliographical review on cyber attacks from a control oriented perspective
    Helem Sabina Sánchez, Damiano Rotondo, Teresa Escobet, Vicenç Puig, Joseba Quevedo · 2019 · Annual Reviews in Control
15. A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders
    Elodie Adida, Georgia Perakis · 2005 · Mathematical Programming
16. Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
    Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou · 2018 · arXiv (Cornell University)
17. Complexity analysis of real-time reinforcement learning
    Sven Koenig, Reid G. Simmons · 1993
18. A mean-field optimal control formulation of deep learning
    Weinan E, Jiequn Han, Qianxiao Li · 2018 · Research in the Mathematical Sciences
19. An optimal replenishment policy for deteriorating items with time-varying demand and partial backlogging
    Jinn‐Tsair Teng, Horng‐Jinh Chang, Chung-Yuan Dye, Cheng-Hsing Hung · 2002 · Operations Research Letters
20. Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty
    Michael J. Conroy, Michael C. Runge, James David Nichols, Kirk W. Stodola, Robert J. Cooper · 2011 · Biological Conservation
21. Convergence of the deep BSDE method for coupled FBSDEs
    Jiequn Han, Jihao Long · 2020 · Probability Uncertainty and Quantitative Risk
22. Chapter 14 Numerical dynamic programming in economics
    John P. Rust · 1996 · Handbook of computational economics
23. Computationally Intensive Methods for Integration in Econometrics
    John F Geweke, Michael P. Keane · 2001 · Handbook of econometrics
24. Comparison of worst case errors in linear and neural network approximation
    Věra Kůrková, Marcello Sanguineti · 2002 · IEEE Transactions on Information Theory
25. Journal De La Société Française De Statistique
    Henri Caussinus, Antoine de Falguerolles · 2005 · Wiley eBooks
26. Decentralized control of partially observable Markov decision processes
    Christopher Amato, Girish Vinayak Chowdhary, Alborz Geramifard, Nazım Kemal Üre, Mykel J. Kochenderfer · 2013 · IEEE Conference on Decision and Control (CDC)
27. Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback
    Ah‐Hwee Tan, Ning Lu, Dan Xiao · 2008 · IEEE Transactions on Neural Networks
28. Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
    C.P. Andriotis, Konstantinos G. Papakonstantinou · 2021 · Reliability Engineering & System Safety
29. Estimating the Impact of Consumer Expectations of Coupons on Purchase Behavior: A Dynamic Structural Model
    Fusun Feride Gonul, Kannan Srinivasan · 1996 · Marketing Science
30. Approximate dynamic programming-based approaches for input–output data-driven control of nonlinear processes
    Jong Min Lee, Jay H. Lee · 2005 · Automatica
31. Mean—Variance Analysis
    Harry M. Markowitz · 1989 · Palgrave Macmillan UK eBooks
32. Combining Optimal Control and Learning for Visual Navigation in Novel Environments
    Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire Jennifer Tomlin · 2019 · arXiv (Cornell University)
33. A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
    Runzhe Yang, Xingyuan Sun, Karthik Narasimhan · 2019 · arXiv (Cornell University)
34. Learning swing-free trajectories for UAVs with a suspended load
    Aleksandra Faust, Ivana Palunko, Patricio J. Cruz, Rafael Fierro, Lydia Tapia · 2013 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
35. Large-scale Unit Commitment under uncertainty
    Milad Tahanan, Wim Stefanus van Ackooij, Antonio Frangioni, F. Lacalandra · 2015 · 4OR
36. Control optimization for a power-split hybrid vehicle
    Jinming Liu, Huei Peng · 2006 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
37. A polynomial dimensional decomposition for stochastic computing
    Sharif Rahman · 2008 · International Journal for Numerical Methods in Engineering
38. Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability
    Ricardo Montoya, Oded Netzer, Kamel Jedidi · 2010 · Marketing Science
39. Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
    Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, John Sheridan Fisher, James Kirkpatrick, Tonio Buonassisi · 2023 · Nature Reviews Materials
40. An Objective Model for Identifying Secondary Eyewall Formation in Hurricanes
    James P. Kossin, Matthew Sitkowski · 2008 · Monthly Weather Review
41. Abstraction and approximate decision-theoretic planning
    Richard Dearden, Craig E. Boutilier · 1997 · Artificial Intelligence
42. Tutorial on Stochastic Optimization in Energy—Part I: Modeling and Policies
    Warren B. Powell, Stephan Meisel · 2015 · IEEE Transactions on Power Systems
43. Transferring Instances for Model-Based Reinforcement Learning
    Matthew Edmund Taylor, Nicholas K. Jong, Peter Stone · 2008 · Lecture notes in computer science
44. Reinforcement Learning with Factored States and Actions
    Brian Sallans, Geoffrey E. Hinton · 2004
45. Mass cytometry: blessed with the curse of dimensionality
    Evan William Newell, Yang Cheng · 2016 · Nature Immunology
46. Heuristic design of fuzzy inference systems: A review of three decades of research
    Varun Ojha, Ajith Abraham, Václav Snåšel · 2019 · Engineering Applications of Artificial Intelligence
47. Evolutionary algorithms, swarm intelligence methods, and their applications in water resources engineering: a state-of-the-art review
    M. Janga Reddy, D. Nagesh Kumar · 2020 · H2Open Journal
48. Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings
    Bin Zou, Jinqing Peng, Sihui Li, Yi Li, Jinyue Yan, Hongxing Yang · 2021 · Applied Energy
49. Training Recurrent Neural Networks With the Levenberg–Marquardt Algorithm for Optimal Control of a Grid-Connected Converter
    Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso · 2014 · IEEE Transactions on Neural Networks and Learning Systems
50. From T-Mazes to Labyrinths: Learning from Model-Based Feedback
    Jerker C. Denrell, Christina Fang, Daniel A. Levinthal · 2004 · Management Science
51. Combining metaheuristics with mathematical programming, constraint programming and machine learning
    El‐Ghazali Talbi · 2015 · Annals of Operations Research
52. A Memetic Algorithm with a large neighborhood crossover operator for the Generalized Traveling Salesman Problem
    Boris Bontoux, Christian Artigues, Dominique Feillet · 2009 · Computers & Operations Research
53. Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming
    Derong Liu, Yuzhu Huang, Ding Wang, Qinglai Wei · 2013 · International Journal of Control
54. Multi-objective multi-agent decision making: a utility-based analysis and survey
    Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé · 2019 · Autonomous Agents and Multi-Agent Systems
55. Algorithms for Optimizing Hydropower System Operation
    Jan C. Grygier, Jery Russell Stedinger · 1985 · Water Resources Research
56. Optimal control of spin dynamics in the presence of relaxation
    Navin Khaneja, Timo O. Reiss, Burkhard Luy, Steffen J. Glaser · 2003 · Journal of Magnetic Resonance
57. An adaptive distance vector routing algorithm for mobile, ad hoc networks
    Rajendra V. Boppana, S.P. Konduru · 2002 · IEEE Conference on Computer Communications (INFOCOM)
58. Farm Level Economics of Soil Conservation in the Palouse Area of the Northwest
    Oscar R. Burt · 1981 · American Journal of Agricultural Economics
59. Modeling and optimization of polygeneration energy systems
    Pei Liu, Dimitrios I. Gerogiorgis, Efstratios N. Pistikopoulos · 2007 · Catalysis Today
60. Large displacement optical flow computation withoutwarping
    Frank Steinbrücker, Thomas Pock, Daniel Cremers · 2009 · IEEE/CVF International Conference on Computer Vision (ICCV)
61. Optimal battery purchasing and charging strategy at electric vehicle battery swap stations
    Bo Sun, Xu Sun, Danny H. K. Tsang, Ward Whitt · 2019 · European Journal of Operational Research
62. Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
    Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
63. Optimal battery thermal management for electric vehicles with battery degradation minimization
    Yue Wu, Zhiwu Huang, Dongjun Li, Heng Li, Jun Peng, Daniel‐Ioan Stroe, Ziyou Song · 2023 · Applied Energy
64. An Historical Survey of Computational Methods in Optimal Control
    Elijah Polak · 1973 · SIAM Review
65. Design of Affine Controllers via Convex Optimization
    Joëlle Skaf, Stephen Boyd · 2010 · IEEE Transactions on Automatic Control
66. Fuel economy optimization of power split hybrid vehicles: A rapid dynamic programming approach
    Yalian Yang, Huanxin Pei, Xiaosong Hu, Yonggang Liu, Cong Hou, Dongpu Cao · 2018 · Energy
67. Economic analysis of animal diseases and their control
    Aalt A Dijkhuizen, R.B.M. Huirne, Alien W. Jalvingh · 1995 · Preventive Veterinary Medicine
68. Markovian Sequential Replacement Processes
    Howard M. Taylor · 1965 · The Annals of Mathematical Statistics
69. A modified dynamic programming method for Markovian decision problems
    James B. MacQueen · 1966 · Journal of Mathematical Analysis and Applications
70. A review of the matrix Riccati equation
    V. Kučera · 1973 · Czech digital mathematics library
71. Generalized dynamic programming for multicriteria optimization
    Robert L. Carraway, Thomas L. Morin, Herbert Moskowitz · 1990 · European Journal of Operational Research
72. Neural‐network‐based online optimal control for uncertain non‐linear continuous‐time systems with control constraints
    Xiong Yang, Derong Liu, Yuzhu Huang · 2013 · IET Control Theory and Applications
73. Waveform Design for Multistatic Radar Detection
    Steven Kay · 2009 · IEEE Transactions on Aerospace and Electronic Systems
74. Robust, low-cost, non-intrusive sensing and recognition of seated postures
    Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, Jessica K. Hodgins · 2007 · ACM Symposium on User Interface Software and Technology (UIST)
75. Optimal Diet Selection by a Generalist Grazing Herbivore
    Jonathan A. Newman, ANTHONY J. PARSONS, J. H. M. Thornley, P. D. Penning, John Richard Krebs · 1995 · Functional Ecology
76. Action-dependent adaptive critic designs
    Derong Liu, Xiaoxu Xiong A, Yi Zhang · 2002 · International Joint Conference on Neural Networks (IJCNN)
77. A simple genetic algorithm for multiple sequence alignment.
    Cedric Gondro, B P Kinghorn · 2007 · PubMed
78. Optimal control for discrete-time affine non-linear systems using general value iteration
    Hao Li, Derong Liu · 2012 · IET Control Theory and Applications
79. Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing
    Tong Liu, Shenggang Ni, Xiaoqiang Li, Yanmin Zhu, Linghe Kong, Yuanyuan Yang · 2022 · IEEE Transactions on Mobile Computing
80. Reinforcement learning of non-Markov decision processes
    Steven D. Whitehead, Long-Ji Lin · 1995 · Artificial Intelligence
81. Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost
    Vivek S. Borkar, Sean Meyn · 2002 · Mathematics of Operations Research
82. Optimal Control of Continuous Time, Markov, Stochastic Systems†
    J. J. FLORENTIN · 1961 · Journal of Electronics and Control
83. Evolutionary Extreme Learning Machine – Based on Particle Swarm Optimization
    You Xu, Yang Shu · 2006 · Lecture notes in computer science
84. Similarity Analysis of Industrial Alarm Flood Data
    Kabir Ahmed, Iman Izadi, Tongwen Chen, D.G.J.T. Tjin Wong Joe, Tim Burton · 2013 · IEEE Transactions on Automation Science and Engineering
85. Track-before-detect procedures in a multi-target environment
    Stefano Buzzi, Marco Lops, Luca Venturino, M. Ferri · 2008 · IEEE Transactions on Aerospace and Electronic Systems
86. Role of plantar fascia in the load bearing capacity of the human foot
    Wangdo Kim, Arkady Voloshin · 1995 · Journal of Biomechanics
87. High Resolution Multidetector CT-Aided Tissue Analysis and Quantification of Lung Fibrosis
    Vanessa A. Zavaletta, Brian J. Bartholmai, Richard A. Robb · 2007 · Academic Radiology
88. Finite state continuous time Markov decision processes with an infinite planning horizon
    Bruce L Miller · 1968 · Journal of Mathematical Analysis and Applications
89. THE ACCUMULATION OF RISKY CAPITAL: A SEQUENTIAL UTILITY ANALYSIS
    Edmund Stopher Phelps · 1980 · Elsevier eBooks
90. Analysis of a rule-based control strategy for on-board energy management of series hybrid vehicles
    Marco Sorrentino, Gianfranco Rizzo, Ivan Arsie · 2011 · Control Engineering Practice
91. Sexing Birds Using Discriminant Function Analysis: A Critical Appraisal
    François‐Xavier Dechaume‐Moncharmont, Karine Monceau, Frank Cézilly · 2011 · The Auk
92. Mid-IR hyperspectral imaging for label-free histopathology and cytology
    M Hermes, Rikke Brandstrup Morrish, Laurent Huot, L Meng, Saher Junaid, Ján Tomko, Gavin Rhys Lloyd, William Ted Masselink, Peter Tidemand‐Lichtenberg, Christian Pedersen et al. · 2017 · Journal of Optics
93. Functional approximations and dynamic programming
    Richard Bellman, Stuart E. Dreyfus · 1959 · Mathematics of Computation
94. Multiobjective Combinatorial Optimization — Theory, Methodology, and Applications
    Matthias Ehrgott, Xavier Gandibleux · 2003 · International series in management science/operations research/International series in operations research & management science
95. A unified view of entropy-regularized Markov decision processes
    Gergely Neu, Anders Jönsson, Vicenç Gómez · 2017 · arXiv (Cornell University)
96. Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
    Lin Forrest Yang, Mengdi Wang · 2019 · arXiv (Cornell University)
97. Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics
    Yongfeng Lv, Jing Na, Qinmin Yang, Xing Fang Wu, Yu Guo · 2015 · International Journal of Control
98. A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem
    Abhishek Srivastava, Dushmanta Kumar Das · 2020 · Engineering Applications of Artificial Intelligence
99. Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch
    Fredrik W. Andersson, John Haltiwanger, Mark Kutzbach, Henry O. Pollakowski, Daniel H. Weinberg · 2017 · The Review of Economics and Statistics
100. A Machine Learning Architecture for Optimizing Web Search Engines
     Justin A. Boyan, Dayne Freitag · 1999