Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Florent Teichteil-Königsbuch"'
Autor:
Florent Teichteil-Königsbuch
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1825-1831
Optimal solutions to Stochastic Shortest Path Problems (SSPs) usually require that there exists at least one policy that reaches the goal with probability 1 from the initial state. This condition is very strong and prevents from solving many interest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fb98c74e4a2c2a60aa61a837159bb9e
https://doi.org/10.1609/aaai.v26i1.8367
https://doi.org/10.1609/aaai.v26i1.8367
Autor:
Florian Geißer, Guillaume Povéda, Felipe Trevizan, Manon Bondouy, Florent Teichteil-Königsbuch, Sylvie Thiébaux
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 30:384-393
Aircraft flight planning is impacted by weather uncertainties. Existing approaches to flight planning are either deterministic and load additional fuel to account for uncertainty, or probabilistic but have to plan in 4D space. If constraints are impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::082a23035f1150a19df7a2388aaf55db
https://doi.org/10.1609/icaps.v30i1.6684
https://doi.org/10.1609/icaps.v30i1.6684
Publikováno v:
A Guided Tour of Artificial Intelligence Research ISBN: 9783030061661
In this chapter, we propose a non-exhaustive review of past works of the AI community on classical planning and planning under uncertainty. We first present the classical propositional STRIPS planning language. Its extensions, based on the problem de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f2785cddcc5b7da4c501ea988336ef1
https://doi.org/10.1007/978-3-030-06167-8_10
https://doi.org/10.1007/978-3-030-06167-8_10
Autor:
Olivier Regnier-Coudert, Gérard Dupont, Guillaume Povéda, Jonathan Guerra, Alexandre Arnold, Florent Teichteil-Königsbuch, Mathieu Picard
Publikováno v:
GECCO
Mission planning for Earth Observation Satellite operators typically implies dynamically altering how requests from different customers are prioritised in order to meet expected deadlines. A request corresponds to a given area of interest to capture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b97b80a33c6c1f769b2894f5bc8694
https://doi.org/10.1145/3321707.3321859
https://doi.org/10.1145/3321707.3321859
Autor:
Alexandre Albore, Charles Lesire, Florent Teichteil-Königsbuch, Caroline Ponzoni Carvalho Chanel, Jorrit T'Hooft
Publikováno v:
Autonomous Robots
Autonomous Robots, Springer Verlag, 2018, 43 (1, 31), pp.37-62. ⟨10.1007/s10514-018-9703-z⟩
Autonomous Robots, Springer Verlag, 2018, 43 (1, 31), pp.37-62. ⟨10.1007/s10514-018-9703-z⟩
International audience; Acting in robotics is driven by reactive and deliberative reasonings which take place in the competition between execution and planning processes. Properly balancing reactivity and deliberation is still an open question for ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313f6fbf57d15754012385f0a93f5461
https://oatao.univ-toulouse.fr/19542/
https://oatao.univ-toulouse.fr/19542/
Autor:
Florent Teichteil-Königsbuch
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 22:252-260
We present the domain-independent HRFF algorithm, which solves goal-oriented HMDPs by incrementally aggregating plans generated by the METRIC-FF planner into a policy defined over discrete and continuous state variables. HRFF takes into account non-m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60ad4746204cb2493c59df9210483e5d
https://doi.org/10.1609/icaps.v22i1.13519
https://doi.org/10.1609/icaps.v22i1.13519
Réseaux bayésiens dynamiques génériques et hiérarchiques pour la décision en environnement incertain
Publikováno v:
Revue d'intelligence artificielle. 21:391-418
Planning under uncertainty techniques are hard to apply to autonomous robotics problems: they require a tedious modeling effort when dealing with large state spaces. Factored representations, using state variables, are more compact, but they cannot c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24997f31bacb98f9cf2f51e99519b522
https://doi.org/10.3166/ria.21.391-418
https://doi.org/10.3166/ria.21.391-418
Publikováno v:
Aerospace Science and Technology. 11:183-193
Future applications of UAV systems will depend on the aircraft autonomous behavior and decision capabilities. Search and Rescue is one complex possible mission and is here taken as a case study. The ReSSAC project is a multidisciplinary project at ON
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c043a77bff90932397eef4fb9b40ddb
https://doi.org/10.1016/j.ast.2006.05.005
https://doi.org/10.1016/j.ast.2006.05.005
Publikováno v:
Scalable Uncertainty Management 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings
9th International Conference on Scalable Uncertainty Management (SUM 2015)
9th International Conference on Scalable Uncertainty Management (SUM 2015), Sep 2015, Quebec, Canada. pp.220-233, ⟨10.1007/978-3-319-23540-0_15⟩
Lecture Notes in Computer Science ISBN: 9783319235394
SUM
9th International Conference on Scalable Uncertainty Management (SUM 2015)
9th International Conference on Scalable Uncertainty Management (SUM 2015), Sep 2015, Quebec, Canada. pp.220-233, ⟨10.1007/978-3-319-23540-0_15⟩
Lecture Notes in Computer Science ISBN: 9783319235394
SUM
International audience; A new translation from Partially Observable MDP into Fully Observable MDP is described here. Unlike the classical translation, the resulting problem state space is finite, making MDP solvers able to solve this simplified versi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f069d6bf157b7a7eb833f2cfd2eaecff
https://oatao.univ-toulouse.fr/15481/
https://oatao.univ-toulouse.fr/15481/
Publikováno v:
international conference on automated planning and scheduling
international conference on automated planning and scheduling, Jun 2015, Jérusalem, Israel. 8 p
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling. 2015; international conference on automated planning and scheduling, Jérusalem, ISR, 2015-06-07-2015-06-11, 259-267
international conference on automated planning and scheduling, Jun 2015, Jérusalem, Israel. 8 p
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling. 2015; international conference on automated planning and scheduling, Jérusalem, ISR, 2015-06-07-2015-06-11, 259-267
For managing production at the scale of crop fields, maps of plant pests are used to support farmer decisions. Such maps are costly to obtain since they require intensive surveys in the field, most of the time performed by human annotators or with hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123aa7bea8735ea0c5f6b82bdb52b225
https://hal.inrae.fr/hal-02743538
https://hal.inrae.fr/hal-02743538