Eléments de l'association
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List of bibliographic references
Number of relevant bibliographic references: 80.| Ident. | Authors (with country if any) | Title |
|---|---|---|
| 000453 | Manel Tagorti [France] ; Bruno Scherrer [France] | On the Rate of Convergence and Error Bounds for LSTD(λ) |
| 000454 | Boris Lesner [France] ; Bruno Scherrer [France] | Non-Stationary Approximate Modified Policy Iteration |
| 000722 | Bruno Scherrer [France] ; Mohammad Ghavamzadeh [France] ; Victor Gabillon [France] ; Boris Lesner [France] ; Matthieu Geist [France] | Approximate Modified Policy Iteration and its Application to the Game of Tetris |
| 000936 | Bruno Scherrer [France] ; Matthieu Geist [France] | Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search |
| 000A93 | Bruno Scherrer [France] | Approximate Policy Iteration Schemes: A Comparison |
| 000B67 | Bruno Scherrer [France] ; Matthieu Geist [France] | Quand l'optimalité locale implique une garantie globale : recherche locale de politique dans un espace convexe et algorithme d'itération sur les politiques conservatif vu comme une montée de gradient fonctionnel |
| 000B92 | Manel Tagorti [France] ; Bruno Scherrer [France] | Vitesse de convergence et borne d'erreur pour l'algorithme LSTD($\lambda$) |
| 000B93 | Bruno Scherrer [France] | Une étude comparative de quelques schémas d'approximation de type iterations sur les politiques |
| 000B95 | Manel Tagorti [France] ; Bruno Scherrer [France] | Rate of Convergence and Error Bounds for LSTD($\lambda$) |
| 000D16 | Matthieu Geist [France] ; Bruno Scherrer [France] | Off-policy Learning with Eligibility Traces: A Survey |
| 000D49 | Eugene A. Feinberg [États-Unis] ; Jefferson Huang [États-Unis] ; Bruno Scherrer [France] | Modified policy iteration algorithms are not strongly polynomial for discounted dynamic programming |
| 000F08 | Bruno Scherrer [France] | Improved and Generalized Upper Bounds on the Complexity of Policy Iteration |
| 000F09 | Victor Gabillon [France] ; Mohammad Ghavamzadeh [France] ; Bruno Scherrer [France] | Approximate Dynamic Programming Finally Performs Well in the Game of Tetris |
| 000F29 | Alain Dutech [France] ; Bruno Scherrer [France] ; Christophe Thiery [France] | La carotte et le bâton... et Tetris |
| 001120 | Bruno Scherrer [France] ; Boris Lesner [France] | Sur l'utilisation de politiques non-stationnaires pour les processus de décision Markoviens à horizon infini |
| 001122 | Bruno Scherrer [France] | Quelques majorants de la complexité d'itérations sur les politiques |
| 001130 | Manel Tagorti [France] ; Bruno Scherrer [France] ; Olivier Buffet [France] ; Joerg Hoffmann [France] | Abstraction Pathologies In Markov Decision Processes |
| 001172 | Manel Tagorti [France] ; Bruno Scherrer [France] ; Olivier Buffet [France] ; Joerg Hoffmann [France] | Abstraction Pathologies In Markov Decision Processes |
| 001183 | Bruno Scherrer [France] ; Matthieu Geist [France] | Policy Search: Any Local Optimum Enjoys a Global Performance Guarantee |
| 001194 | Bruno Scherrer [France] | On the Performance Bounds of some Policy Search Dynamic Programming Algorithms |
| 001244 | Boris Lesner [France] ; Bruno Scherrer [France] | Tight Performance Bounds for Approximate Modified Policy Iteration with Non-Stationary Policies |
| 001334 | Bruno Scherrer [France] | Performance Bounds for Lambda Policy Iteration and Application to the Game of Tetris |
| 001750 | Matthieu Geist [France] ; Bruno Scherrer [France] | Off-policy Learning with Eligibility Traces: A Survey |
| 001825 | Bruno Scherrer [France] ; Boris Lesner [France] | On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes |
| 001A58 | Matthieu Geist [France] ; Bruno Scherrer [France] ; Alessandro Lazaric [France] ; Mohammad Ghavamzadeh [France] | A Dantzig Selector Approach to Temporal Difference Learning |
| 001A68 | Bruno Scherrer [France] ; Mohammad Ghavamzadeh [France] ; Victor Gabillon [France] ; Matthieu Geist [France] | Approximate Modified Policy Iteration |
| 001B20 | Matthieu Geist [France] ; Bruno Scherrer [France] ; Alessandro Lazaric [France] ; Mohammad Ghavamzadeh [France] | Un sélecteur de Dantzig pour l'apprentissage par différences temporelles |
| 001B24 | Bruno Scherrer [France] ; Victor Gabillon [France] ; Mohammad Ghavamzadeh [France] ; Matthieu Geist [France] | Approximations de l'Algorithme Itérations sur les Politiques Modifié |
| 001B39 | Bruno Scherrer [France] ; Victor Gabillon [France] ; Mohammad Ghavamzadeh [France] ; Matthieu Geist [France] | Approximate Modified Policy Iteration |
| 001C03 | Bruno Scherrer [France] | On the Use of Non-Stationary Policies for Infinite-Horizon Discounted Markov Decision Processes |
| 002138 | Matthieu Geist [France] ; Bruno Scherrer [France] | l1-penalized projected Bellman residual |
| 002139 | Bruno Scherrer [France] ; Matthieu Geist [France] | Recursive Least-Squares Learning with Eligibility Traces |
| 002267 | Victor Gabillon [France] ; Alessandro Lazaric [France] ; Mohammad Ghavamzadeh [France] ; Bruno Scherrer [France] | Classification-based Policy Iteration with a Critic |
| 002279 | Bruno Scherrer [France] ; Matthieu Geist [France] | Moindres carrés récursifs pour l'évaluation off-policy d'une politique avec traces d'éligibilité |
| 002378 | Victor Gabillon [France] ; Alessandro Lazaric [France] ; Mohammad Ghavamzadeh [France] ; Bruno Scherrer [France] | Classification-based Policy Iteration with a Critic |
| 002841 | Bruno Scherrer [France] | Performance Bounds for Lambda Policy Iteration and Application to the Game of Tetris |
| 002C27 | Bruno Scherrer [France] | Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view |
| 002C29 | Christophe Thiery [France] ; Bruno Scherrer [France] | Least-Squares λ Policy Iteration: Bias-Variance Trade-off in Control Problems |
| 002C72 | Christophe Thiery [France] ; Bruno Scherrer [France] | Least-Squares λ Policy Iteration : optimisme et compromis biais-variance pour le contrôle optimal |
| 003231 | Bruno Scherrer [France] ; Christophe Thiery [France] | Performance bound for Approximate Optimistic Policy Iteration |
| 003232 | Alain Dutech [France] ; Bruno Scherrer [France] | Partially Observable Markov Decision Processes |
| 003565 | Christophe Thiery [France] ; Bruno Scherrer [France] | Une approche modifiée de Lambda-Policy Iteration |
| 003C68 | Christophe Thiery [France] ; Bruno Scherrer [France] | Improvements on Learning Tetris with Cross Entropy |
| 003C92 | Christophe Thiery [France] ; Bruno Scherrer [France] | Building Controllers for Tetris |
| 003D48 | Bruno Scherrer [France] ; Shie Mannor [Canada] | Error Reducing Sampling in Reinforcement Learning |
| 003D49 | Cesar Torres-Huitzil [Mexique] ; Bernard Girau [France] ; Amine Boumaza [France] ; Bruno Scherrer [France] | Embedded harmonic control for trajectory planning in large environments |
| 003D50 | Marek Petrik [États-Unis] ; Bruno Scherrer [France] | Biasing Approximate Dynamic Programming with a Lower Discount Factor |
| 004139 | Alain Dutech [France] ; Bruno Scherrer [France] ; Christophe Thiery [France] | La carotte et le bâton... et Tetris |
| 004273 | Amine Boumaza [France] ; Bruno Scherrer [France] | Analyse d’un algorithme d’intelligence en essaim pour le fourragement |
| 004474 | Alain Dutech [France] ; Bruno Scherrer [France] | Processus décisionnels de Markov partiellement observables |
| 004599 | Bernard Girau [France] ; Amine Boumaza [France] ; Bruno Scherrer [France] ; Cesar Torres-Huitzil [Mexique] | Block-synchronous harmonic control for scalable trajectory planning |
| 004648 | Amine Boumaza [France] ; Bruno Scherrer [France] | Convergence and rate of convergence of simple ant models |
| 004725 | Amine Boumaza [France] ; Bruno Scherrer [France] | Convergence and Rate of Convergence of a Foraging Ant Model |
| 004952 | Amine Boumaza [France] ; Bruno Scherrer [France] | Convergence and rate of convergence of a simple ant model |
| 004958 | Amine Boumaza [France] ; Bruno Scherrer [France] | Optimal control subsumes harmonic control |
| 004E85 | Amine Boumaza [France] ; Bruno Scherrer [France] | Convergence and rate of convergence of a simple ant model |
| 004F65 | Bruno Scherrer [France] | Une condition suffisante pour l'implémentation connexionniste asynchrone |
| 005694 | Amine Boumaza [France] ; Bruno Scherrer [France] | Convergence et taux de convergence d'un algorithme fourmi simple |
| 005706 | Amine Boumaza [France] ; Bruno Scherrer [France] | Optimal control subsumes harmonic control |
| 005989 | Amine Boumaza [France] ; Bruno Scherrer [France] | Navigation, fonctions harmoniques et contrôle optimal stochastique |
| 005C50 | Bruno Scherrer [France] | Asynchronous Neurocomputing for optimal control and reinforcement learning with large state spaces |
| 006E36 | Bruno Scherrer [France] | Approche connexionniste du contrôle optimal |
| 007022 | Bruno Scherrer [France] ; Shie Mannor [États-Unis] | Error reducing sampling in reinforcement learning |
| 007196 | Bruno Scherrer [France] | Modular self-organization for a long-living autonomous agent |
| 007272 | Bruno Scherrer [France] | Parallel asynchronous distributed computations of optimal control in large state space Markov Decision Processes |
| 007292 | Bruno Scherrer [France] | Apprentissage de représentation et auto-organisation modulaire pour un agent autonome |
| 007D73 | Iadine Chadès [France] ; Bruno Scherrer [France] ; François Charpillet [France] | Planning Cooperative Homogeneous Multiagent System Using Markov Decision Processes |
| 007D84 | Bruno Scherrer [France] | Modular self-organization |
| 007D85 | Bruno Scherrer [France] | Modular self-organization for a long-living autonomous agent |
| 008084 | Iadine Chadès [France] ; Bruno Scherrer [France] ; François Charpillet [France] | A Heuristic Approach for Solving Decentralized-POMDP : Assessment on the Pursuit Problem |
| 008918 | Bruno Scherrer [France] ; Francois Charpillet [France] | Cooperative co-learning: A model-based approach for solving multi agent Reinforcement problems |
| 008932 | Bruno Scherrer [France] | A connectionist architecture that adapts its representation to complex tasks |
| 008B58 | Bruno Scherrer [France] ; François Charpillet [France] | Cooperative Co-learning: A Model-based Approach for Solving Multi Agent Reinforcement Problems |
| 008B66 | Bruno Scherrer [France] ; François Charpillet [France] | Coevolutive Planning In Markov Decision Processes |
| 008C01 | Bruno Scherrer [France] | A connectionist architecture that adpats its representation to complex tasks |
| 008C50 | Bruno Scherrer [France] | Auto-organisation modulaire d'une architecture intelligente |
| 008C52 | Alain Dutech [France] ; Bruno Scherrer [France] | Learning to use contextual information for solving POMDP |
| 009713 | Iadine Chadès [France] ; Bruno Scherrer [France] ; François Charpillet [France] | A Heuristic Approach for Solving Decentralized-POMDP: Assessment on the Pursuit Problem |
| 00A054 | Bruno Scherrer [France] ; Frédéric Alexandre [France] ; François Charpillet [France] ; Stéphane Vialle | Modélisation stochastique d'une population de neurones, méta-apprentissage dans un problème de classification |
| 00A916 | Marc Buyse [Belgique] ; Stephen L. George [États-Unis] ; Stephen Evans [Royaume-Uni] ; Nancy L. Geller [États-Unis] ; Jonas Ranstam [Suède] ; Bruno Scherrer [France] ; Emmanuel Lesaffre [Belgique] ; Gordon Murray [Royaume-Uni] ; Lutz Edler [Allemagne] ; Jane Hutton [Royaume-Uni] ; Theodore Colton [États-Unis] ; Peter Lachenbruch [États-Unis] ; Babu L. Verma [Inde] | The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials |
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