Autonomous Search and Rescue Rotorcraft Mission Stochastic Planning with Generic DBNs. - Florent Teichteil-Königsbuch; Patrick Fabiani (IFIP AI, 2006)

Influence of modeling structure in probabilistic sequential decision problems. - Florent Teichteil-Königsbuch; Patrick Fabiani (RAIRO Oper. Res., 2006)

Processus décisionnels de Markov décomposés et factorisés pour l'optimisation de stratégies d'exploration. - Florent Teichteil-Königsbuch; Patrick Fabiani (Rev. d'Intelligence Artif., 2006)

Réseaux bayésiens dynamiques génériques et hiérarchiques pour la décision en environnement incertain. - Florent Teichteil-Königsbuch; Patrick Fabiani (Rev. d'Intelligence Artif., 2007)

Incremental plan aggregation for generating policies in MDPs. - Florent Teichteil-Königsbuch; Ugur Kuter; Guillaume Infantes (AAMAS, 2010)

POMDP solving: what rewards do you really expect at execution? - Caroline Ponzoni Carvalho Chanel; Jean-Loup Farges; Florent Teichteil-Königsbuch; Guillaume Infantes (STAIRS, 2010)

Extending Classical Planning Heuristics to Probabilistic Planning with Dead-Ends. - Florent Teichteil-Königsbuch; Vincent Vidal 001; Guillaume Infantes (AAAI, 2011)

A generic framework for anytime execution-driven planning in robotics. - Florent Teichteil-Königsbuch; Charles Lesire; Guillaume Infantes (ICRA, 2011)

Stochastic Safest and Shortest Path Problems. - Florent Teichteil-Königsbuch (AAAI, 2012)

Fast Incremental Policy Compilation from Plans in Hybrid Probabilistic Domains. - Florent Teichteil-Königsbuch (ICAPS, 2012)

POMDP-based online target detection and recognition for autonomous UAVs. - Caroline Ponzoni Carvalho Chanel; Florent Teichteil-Königsbuch; Charles Lesire (ECAI, 2012)

Path-Constrained Markov Decision Processes: bridging the gap between probabilistic model-checking and decision-theoretic planning. - Florent Teichteil-Königsbuch (ECAI, 2012)

Multi-Target Detection and Recognition by UAVs Using Online POMDPs. - Caroline Ponzoni Carvalho Chanel; Florent Teichteil-Königsbuch; Charles Lesire (AAAI, 2013)

Properly Acting under Partial Observability with Action Feasibility Constraints. - Caroline Ponzoni Carvalho Chanel; Florent Teichteil-Königsbuch (ECML/PKDD (1), 2013)

Qualitative Possibilistic Mixed-Observable MDPs. - Nicolas Drougard; Florent Teichteil-Königsbuch; Jean-Loup Farges; Didier Dubois (UAI, 2013)

Structured Possibilistic Planning Using Decision Diagrams. - Nicolas Drougard; Florent Teichteil-Königsbuch; Jean-Loup Farges; Didier Dubois (AAAI, 2014)

Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints. - Jonathan Sprauel; Andrey Kolobov; Florent Teichteil-Königsbuch (AAAI, 2014)

A Robotic Execution Framework for Online Probabilistic (Re)Planning. - Caroline Ponzoni Carvalho Chanel; Charles Lesire; Florent Teichteil-Königsbuch (ICAPS, 2014)

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs. - Alexandre Albore; Nathalie Peyrard; Régis Sabbadin; Florent Teichteil-Königsbuch (ICAPS, 2015)

Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics. - Nicolas Drougard; Didier Dubois; Jean-Loup Farges; Florent Teichteil-Königsbuch (SUM, 2015)

Processus décisionnels de Markov possibilistes à observabilité mixte. - Nicolas Drougard; Florent Teichteil-Königsbuch; Jean-Loup Farges; Didier Dubois (Rev. d'Intelligence Artif., 2015)

Efficient solutions for Stochastic Shortest Path Problems with Dead Ends. - Felipe W. Trevizan; Florent Teichteil-Königsbuch; Sylvie Thiébaux (UAI, 2017)

Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty. - Guillaume Povéda; Olivier Regnier-Coudert; Florent Teichteil-Königsbuch; Gérard Dupont; Alexandre Arnold; Jonathan Guerra; Mathieu Picard (GECCO, 2019)

AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics. - Caroline Ponzoni Carvalho Chanel; Alexandre Albore; Jorrit T'Hooft; Charles Lesire; Florent Teichteil-Königsbuch (Auton. Robots, 2019)

Planning in Artificial Intelligence. - Régis Sabbadin; Florent Teichteil-Königsbuch; Vincent Vidal 001 (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

Optimal and Heuristic Approaches for Constrained Flight Planning under Weather Uncertainty. - Florian Geißer; Guillaume Povéda; Felipe W. Trevizan; Manon Bondouy; Florent Teichteil-Königsbuch; Sylvie Thiébaux (ICAPS, 2020)

Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. - Florent Teichteil-Königsbuch; Miquel Ramírez; Nir Lipovetzky (IJCAI, 2020)

Fast and Robust Resource-Constrained Scheduling with Graph Neural Networks. - Florent Teichteil-Königsbuch; Guillaume Povéda; Guillermo González de Garibay Barba; Tim Luchterhand; Sylvie Thiébaux (ICAPS, 2023)

Explaining the Space of SSP Policies via Policy-Property Dependencies: Complexity, Algorithms, and Relation to Multi-Objective Planning. - Marcel Steinmetz; Sylvie Thiébaux; Daniel Höller; Florent Teichteil-Königsbuch (ICAPS, 2024)

Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper). - Paul-Antoine Le Tolguenec; Emmanuel Rachelson; Yann Besse; Florent Teichteil-Königsbuch; Nicolas Schneider; Hélène Waeselynck; Dennis Wilson (ISSTA, 2024)

Exploration by Learning Diverse Skills through Successor State Representations. - Paul-Antoine Le Tolguenec; Yann Besse; Florent Teichteil-Königsbuch; Dennis Wilson; Emmanuel Rachelson (NeurIPS, 2024)

Exploration by Learning Diverse Skills through Successor State Measures. - Paul-Antoine Le Tolguenec; Yann Besse; Florent Teichteil-Königsbuch; Dennis G. Wilson; Emmanuel Rachelson (CoRR, 2024)

Exploration by Running Away from the Past. - Paul-Antoine Le Tolguenec; Yann Besse; Florent Teichteil-Königsbuch; Dennis G. Wilson; Emmanuel Rachelson (CoRR, 2024)