Journal articles on the topic 'SMT, planning, POMDP, POMCP'
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Mazzi, Giulio, Alberto Castellini, and Alessandro Farinelli. "Rule-based Shielding for Partially Observable Monte-Carlo Planning." Proceedings of the International Conference on Automated Planning and Scheduling 31 (May 17, 2021): 243–51. http://dx.doi.org/10.1609/icaps.v31i1.15968.
Full textZhang, Zongzhang, Michael Littman, and Xiaoping Chen. "Covering Number as a Complexity Measure for POMDP Planning and Learning." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 1853–59. http://dx.doi.org/10.1609/aaai.v26i1.8360.
Full textOmidshafiei, 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.
Full textYe, Nan, Adhiraj Somani, David Hsu, and Wee Sun Lee. "DESPOT: Online POMDP Planning with Regularization." Journal of Artificial Intelligence Research 58 (January 26, 2017): 231–66. http://dx.doi.org/10.1613/jair.5328.
Full textChatterjee, Krishnendu, Martin Chmelik, and Ufuk Topcu. "Sensor Synthesis for POMDPs with Reachability Objectives." Proceedings of the International Conference on Automated Planning and Scheduling 28 (June 15, 2018): 47–55. http://dx.doi.org/10.1609/icaps.v28i1.13875.
Full textNI, YAODONG, and ZHI-QIANG LIU. "BOUNDED-PARAMETER PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES: FRAMEWORK AND ALGORITHM." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 06 (December 2013): 821–63. http://dx.doi.org/10.1142/s0218488513500396.
Full textSpaan, M. T. J., and N. Vlassis. "Perseus: Randomized Point-based Value Iteration for POMDPs." Journal of Artificial Intelligence Research 24 (August 1, 2005): 195–220. http://dx.doi.org/10.1613/jair.1659.
Full textAmato, Christopher, George Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, and Leslie P. Kaelbling. "Policy search for multi-robot coordination under uncertainty." International Journal of Robotics Research 35, no. 14 (December 2016): 1760–78. http://dx.doi.org/10.1177/0278364916679611.
Full textPineau, J., G. Gordon, and S. Thrun. "Anytime Point-Based Approximations for Large POMDPs." Journal of Artificial Intelligence Research 27 (November 26, 2006): 335–80. http://dx.doi.org/10.1613/jair.2078.
Full textWu, Chenyang, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, and Wulong Liu. "LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (May 18, 2021): 15927–28. http://dx.doi.org/10.1609/aaai.v35i18.17960.
Full textNguyen, Hoa Van, Hamid Rezatofighi, Ba-Ngu Vo, and Damith C. Ranasinghe. "Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7227–35. http://dx.doi.org/10.1609/aaai.v34i05.6213.
Full textBeynier, Aurélie. "A Multiagent Planning Approach for Cooperative Patrolling with Non-Stationary Adversaries." International Journal on Artificial Intelligence Tools 26, no. 05 (October 2017): 1760018. http://dx.doi.org/10.1142/s0218213017600181.
Full textIvashko, Yulia, Andrii Dmytrenko, Małgorzata Hryniewicz, Tetiana Petrunok, and Tеtiana Yevdokimova. ""Official" and "private" parks of the XVIII–XIX centuries through the prism of general landscape trends of the time." Landscape architecture and art, no. 20 (November 10, 2022): 24–36. http://dx.doi.org/10.22616/j.landarchart.2022.20.03.
Full textLauri, Mikko, Joni Pajarinen, and Jan Peters. "Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement." Autonomous Agents and Multi-Agent Systems 34, no. 2 (June 10, 2020). http://dx.doi.org/10.1007/s10458-020-09467-6.
Full textVien, Ngo Anh, and Marc Toussaint. "Hierarchical Monte-Carlo Planning." Proceedings of the AAAI Conference on Artificial Intelligence 29, no. 1 (March 4, 2015). http://dx.doi.org/10.1609/aaai.v29i1.9687.
Full textSheng, Shili, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, David Parker, and Lu Feng. "Planning for Automated Vehicles with Human Trust." ACM Transactions on Cyber-Physical Systems, September 2, 2022. http://dx.doi.org/10.1145/3561059.
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