Статті в журналах з теми "Multi-Objective Markov Decision Processes"
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Wakuta, K., and K. Togawa. "Solution procedures for multi-objective markov decision processes." Optimization 43, no. 1 (January 1998): 29–46. http://dx.doi.org/10.1080/02331939808844372.
Повний текст джерелаAhn, Hyun-Soo, and Rhonda Righter. "Multi-Actor Markov Decision Processes." Journal of Applied Probability 42, no. 1 (March 2005): 15–26. http://dx.doi.org/10.1239/jap/1110381367.
Повний текст джерелаAhn, Hyun-Soo, and Rhonda Righter. "Multi-Actor Markov Decision Processes." Journal of Applied Probability 42, no. 01 (March 2005): 15–26. http://dx.doi.org/10.1017/s0021900200000024.
Повний текст джерелаLIU, QIU-SHENG, KATSUHISA OHNO, and HIROTAKA NAKAYAMA. "Multi-objective discounted Markov decision processes with expectation and variance criteria." International Journal of Systems Science 23, no. 6 (June 1992): 903–14. http://dx.doi.org/10.1080/00207729208949257.
Повний текст джерелаFujita, Toshiharu, and Akifumi Kira. "Mutually Dependent Markov Decision Processes." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 6 (November 20, 2014): 992–98. http://dx.doi.org/10.20965/jaciii.2014.p0992.
Повний текст джерелаMandow, L., J. L. Perez-de-la-Cruz, and N. Pozas. "Multi-objective dynamic programming with limited precision." Journal of Global Optimization 82, no. 3 (November 2, 2021): 595–614. http://dx.doi.org/10.1007/s10898-021-01096-x.
Повний текст джерелаWernz, Christian. "Multi-time-scale Markov decision processes for organizational decision-making." EURO Journal on Decision Processes 1, no. 3-4 (November 2013): 299–324. http://dx.doi.org/10.1007/s40070-013-0020-7.
Повний текст джерелаBouyer, Patricia, Mauricio González, Nicolas Markey, and Mickael Randour. "Multi-weighted Markov Decision Processes with Reachability Objectives." Electronic Proceedings in Theoretical Computer Science 277 (September 7, 2018): 250–64. http://dx.doi.org/10.4204/eptcs.277.18.
Повний текст джерелаWhite, D. J. "An Heuristic for Multi-Dimensional Markov Decision Processes." Journal of Information and Optimization Sciences 14, no. 2 (May 1993): 203–19. http://dx.doi.org/10.1080/02522667.1993.10699150.
Повний текст джерелаRandour, Mickael, Jean-François Raskin, and Ocan Sankur. "Percentile queries in multi-dimensional Markov decision processes." Formal Methods in System Design 50, no. 2-3 (January 5, 2017): 207–48. http://dx.doi.org/10.1007/s10703-016-0262-7.
Повний текст джерелаPianosi, F., A. Castelletti, and M. Restelli. "Tree-based fitted Q-iteration for multi-objective Markov decision processes in water resource management." Journal of Hydroinformatics 15, no. 2 (January 2, 2013): 258–70. http://dx.doi.org/10.2166/hydro.2013.169.
Повний текст джерелаAbdelfattah, Sherif, Kathryn Kasmarik, and Jiankun Hu. "A robust policy bootstrapping algorithm for multi-objective reinforcement learning in non-stationary environments." Adaptive Behavior 28, no. 4 (August 15, 2019): 273–92. http://dx.doi.org/10.1177/1059712319869313.
Повний текст джерелаFeinberg, Eugene A., and Aleksey B. Piunovskiy. "Multiple Objective Nonatomic Markov Decision Processes with Total Reward Criteria." Journal of Mathematical Analysis and Applications 247, no. 1 (July 2000): 45–66. http://dx.doi.org/10.1006/jmaa.2000.6819.
Повний текст джерелаLuo, Fei, Bo Feng, and Huazhong Wang. "Automatic first-arrival picking method via intelligent Markov optimal decision processes." Journal of Geophysics and Engineering 18, no. 3 (June 2021): 406–17. http://dx.doi.org/10.1093/jge/gxab026.
Повний текст джерелаBecker, R., S. Zilberstein, V. Lesser, and C. V. Goldman. "Solving Transition Independent Decentralized Markov Decision Processes." Journal of Artificial Intelligence Research 22 (December 1, 2004): 423–55. http://dx.doi.org/10.1613/jair.1497.
Повний текст джерелаBelousov, Boris, and Jan Peters. "Entropic Regularization of Markov Decision Processes." Entropy 21, no. 7 (July 10, 2019): 674. http://dx.doi.org/10.3390/e21070674.
Повний текст джерелаOrtega-Gutiérrez, R. Israel, and H. Cruz-Suárez. "A Moreau-Yosida regularization for Markov decision processes." Proyecciones (Antofagasta) 40, no. 1 (February 1, 2020): 117–37. http://dx.doi.org/10.22199/issn.0717-6279-2021-01-0008.
Повний текст джерелаOrtega-Gutiérrez, R. Israel, and H. Cruz-Suárez. "A Moreau-Yosida regularization for Markov decision processes." Proyecciones (Antofagasta) 40, no. 1 (February 1, 2020): 117–37. http://dx.doi.org/10.22199/issn.0717-6279-2021-01-0008.
Повний текст джерелаPatek, Stephen D. "On terminating Markov decision processes with a risk-averse objective function." Automatica 37, no. 9 (September 2001): 1379–86. http://dx.doi.org/10.1016/s0005-1098(01)00084-x.
Повний текст джерелаZhou, Yuyang, Guang Cheng, Shanqing Jiang, Yuyu Zhao, and Zihan Chen. "Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes." Computers & Security 97 (October 2020): 101976. http://dx.doi.org/10.1016/j.cose.2020.101976.
Повний текст джерелаWan, Chaowei, Xiaodao Chen, and Dongbo Liu. "A Multi-Objective-Driven Placement Technique for Digital Microfluidic Biochips." Journal of Circuits, Systems and Computers 28, no. 05 (May 2019): 1950076. http://dx.doi.org/10.1142/s0218126619500762.
Повний текст джерелаMessias, João, Matthijs Spaan, and Pedro Lima. "GSMDPs for Multi-Robot Sequential Decision-Making." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 29, 2013): 1408–14. http://dx.doi.org/10.1609/aaai.v27i1.8550.
Повний текст джерелаCompare, Michele, Paolo Marelli, Piero Baraldi, and Enrico Zio. "A Markov decision process framework for optimal operation of monitored multi-state systems." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 6 (February 16, 2018): 677–89. http://dx.doi.org/10.1177/1748006x18757077.
Повний текст джерелаHartmanns, Arnd, Sebastian Junges, Joost-Pieter Katoen, and Tim Quatmann. "Multi-cost Bounded Tradeoff Analysis in MDP." Journal of Automated Reasoning 64, no. 7 (July 28, 2020): 1483–522. http://dx.doi.org/10.1007/s10817-020-09574-9.
Повний текст джерелаTilak, Omkar, and Snehasis Mukhopadhyay. "Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes." AI Communications 24, no. 4 (2011): 293–309. http://dx.doi.org/10.3233/aic-2011-0505.
Повний текст джерелаChang, Hyeong Soo. "Random search for constrained Markov decision processes with multi-policy improvement." Automatica 58 (August 2015): 127–30. http://dx.doi.org/10.1016/j.automatica.2015.05.016.
Повний текст джерелаAltman, Eitan, and Flos Spieksma. "The Linear Program approach in multi-chain Markov Decision Processes revisited." ZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research 42, no. 2 (June 1995): 169–88. http://dx.doi.org/10.1007/bf01415752.
Повний текст джерелаDufour, François, and Alexei B. Piunovskiy. "Impulsive Control for Continuous-Time Markov Decision Processes." Advances in Applied Probability 47, no. 1 (March 2015): 106–27. http://dx.doi.org/10.1239/aap/1427814583.
Повний текст джерелаDufour, François, and Alexei B. Piunovskiy. "Impulsive Control for Continuous-Time Markov Decision Processes." Advances in Applied Probability 47, no. 01 (March 2015): 106–27. http://dx.doi.org/10.1017/s0001867800007722.
Повний текст джерелаRoijers, Diederik, Erwin Walraven, and Matthijs Spaan. "Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs." Proceedings of the International Conference on Automated Planning and Scheduling 28 (June 15, 2018): 218–26. http://dx.doi.org/10.1609/icaps.v28i1.13903.
Повний текст джерелаMatignon, Laetitia, Laurent Jeanpierre, and Abdel-Illah Mouaddib. "Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 2017–23. http://dx.doi.org/10.1609/aaai.v26i1.8380.
Повний текст джерелаBernstein, D. S., C. Amato, E. A. Hansen, and S. Zilberstein. "Policy Iteration for Decentralized Control of Markov Decision Processes." Journal of Artificial Intelligence Research 34 (March 1, 2009): 89–132. http://dx.doi.org/10.1613/jair.2667.
Повний текст джерелаLacerda, Bruno, David Parker, and Nick Hawes. "Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees." Proceedings of the International Conference on Automated Planning and Scheduling 27 (June 5, 2017): 504–12. http://dx.doi.org/10.1609/icaps.v27i1.13865.
Повний текст джерелаLinzner, Dominik, and Heinz Koeppl. "A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7203–10. http://dx.doi.org/10.1609/aaai.v34i05.6210.
Повний текст джерелаAhluwalia, Vinayak S., Lauren N. Steimle, and Brian T. Denton. "Policy-based branch-and-bound for infinite-horizon Multi-model Markov decision processes." Computers & Operations Research 126 (February 2021): 105108. http://dx.doi.org/10.1016/j.cor.2020.105108.
Повний текст джерелаOSADA, H. "CHQ: A Multi-Agent Reinforcement Learning Scheme for Partially Observable Markov Decision Processes." IEICE Transactions on Information and Systems E88-D, no. 5 (May 1, 2005): 1004–11. http://dx.doi.org/10.1093/ietisy/e88-d.5.1004.
Повний текст джерелаBrázdil, Tomáš, Krishnendu Chatterjee, Petr Novotný, and Jiří Vahala. "Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 9794–801. http://dx.doi.org/10.1609/aaai.v34i06.6531.
Повний текст джерелаOmidshafiei, Shayegan, Ali–Akbar Agha–Mohammadi, Christopher Amato, Shih–Yuan Liu, Jonathan P. How, and John Vian. "Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions." International Journal of Robotics Research 36, no. 2 (February 2017): 231–58. http://dx.doi.org/10.1177/0278364917692864.
Повний текст джерелаRigter, Marc, Bruno Lacerda, and Nick Hawes. "Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 13 (May 18, 2021): 11930–38. http://dx.doi.org/10.1609/aaai.v35i13.17417.
Повний текст джерелаDufour, François, and A. B. Piunovskiy. "The Expected Total Cost Criterion for Markov Decision Processes under Constraints." Advances in Applied Probability 45, no. 3 (September 2013): 837–59. http://dx.doi.org/10.1239/aap/1377868541.
Повний текст джерелаDufour, François, and A. B. Piunovskiy. "The Expected Total Cost Criterion for Markov Decision Processes under Constraints." Advances in Applied Probability 45, no. 03 (September 2013): 837–59. http://dx.doi.org/10.1017/s0001867800006601.
Повний текст джерелаKariotoglou, Nikolaos, Maryam Kamgarpour, Tyler H. Summers, and John Lygeros. "The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes." Journal of Artificial Intelligence Research 60 (October 4, 2017): 263–85. http://dx.doi.org/10.1613/jair.5500.
Повний текст джерелаSalari, Nooshin, and Viliam Makis. "Application of Markov renewal theory and semi‐Markov decision processes in maintenance modeling and optimization of multi‐unit systems." Naval Research Logistics (NRL) 67, no. 7 (August 3, 2020): 548–58. http://dx.doi.org/10.1002/nav.21932.
Повний текст джерелаBouton, Maxime, Jana Tumova, and Mykel J. Kochenderfer. "Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 10061–68. http://dx.doi.org/10.1609/aaai.v34i06.6563.
Повний текст джерелаZhang, Zhicong, Shuai Li, and Xiaohui Yan. "Online Self-Organizing Network Control with Time Averaged Weighted Throughput Objective." Discrete Dynamics in Nature and Society 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/4184805.
Повний текст джерелаPark, Bumjin, Cheongwoong Kang, and Jaesik Choi. "Cooperative Multi-Robot Task Allocation with Reinforcement Learning." Applied Sciences 12, no. 1 (December 28, 2021): 272. http://dx.doi.org/10.3390/app12010272.
Повний текст джерелаLachikhin, A. V. "ALGORITHMS FOR FINDING OPTIMAL POLICY FOR INTELLIGENT AGENTS BASED ON MARKOV DECISION-MAKING PROCESSES." Issues of radio electronics, no. 11 (November 20, 2018): 29–32. http://dx.doi.org/10.21778/2218-5453-2018-11-29-32.
Повний текст джерелаGiuliani, M., S. Galelli, and R. Soncini-Sessa. "A dimensionality reduction approach for many-objective Markov Decision Processes: Application to a water reservoir operation problem." Environmental Modelling & Software 57 (July 2014): 101–14. http://dx.doi.org/10.1016/j.envsoft.2014.02.011.
Повний текст джерелаAhmed, Asrar, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, and Patrick Jaillet. "Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs)." Journal of Artificial Intelligence Research 59 (July 1, 2017): 229–64. http://dx.doi.org/10.1613/jair.5242.
Повний текст джерелаXing Zhang, Qiuhong Zhao, and Guoping Xia. "Research on Integrated Optimization Problem in a Multi-product Supply Chain Based on Markov Decision Processes." Journal of Convergence Information Technology 7, no. 1 (January 31, 2012): 45–53. http://dx.doi.org/10.4156/jcit.vol7.issue1.6.
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