Florent Teichteil-Königsbuch

Orcid: 0000-0001-6815-096X

Affiliations:
  • Airbus Central Research & Technology, Toulouse, France


According to our database1, Florent Teichteil-Königsbuch authored at least 27 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fast and Robust Resource-Constrained Scheduling with Graph Neural Networks.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2020
Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Optimal and Heuristic Approaches for Constrained Flight Planning under Weather Uncertainty.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics.
Auton. Robots, 2019

Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2017
Efficient solutions for Stochastic Shortest Path Problems with Dead Ends.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2015
Processus décisionnels de Markov possibilistes à observabilité mixte.
Rev. d'Intelligence Artif., 2015

Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics.
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014
A Robotic Execution Framework for Online Probabilistic (Re)Planning.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Structured Possibilistic Planning Using Decision Diagrams.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Qualitative Possibilistic Mixed-Observable MDPs.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Properly Acting under Partial Observability with Action Feasibility Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multi-Target Detection and Recognition by UAVs Using Online POMDPs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Path-Constrained Markov Decision Processes: bridging the gap between probabilistic model-checking and decision-theoretic planning.
Proceedings of the ECAI 2012, 2012

POMDP-based online target detection and recognition for autonomous UAVs.
Proceedings of the ECAI 2012, 2012

Fast Incremental Policy Compilation from Plans in Hybrid Probabilistic Domains.
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

Stochastic Safest and Shortest Path Problems.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A generic framework for anytime execution-driven planning in robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Extending Classical Planning Heuristics to Probabilistic Planning with Dead-Ends.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
POMDP solving: what rewards do you really expect at execution?
Proceedings of the STAIRS 2010, 2010

Incremental plan aggregation for generating policies in MDPs.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2007
Réseaux bayésiens dynamiques génériques et hiérarchiques pour la décision en environnement incertain.
Rev. d'Intelligence Artif., 2007

2006
Processus décisionnels de Markov décomposés et factorisés pour l'optimisation de stratégies d'exploration.
Rev. d'Intelligence Artif., 2006

Influence of modeling structure in probabilistic sequential decision problems.
RAIRO Oper. Res., 2006

Autonomous Search and Rescue Rotorcraft Mission Stochastic Planning with Generic DBNs.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006


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