Bruno Scherrer

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 18

Top Venues

CoRR

ICML

J. Mach. Learn. Res.

NIPS

Henri Poincaré University, Nancy, France (PHD)

Education History

Henri Poincaré University, Nancy, France

PHD

Publications

Lin Chen, Bruno Scherrer, Peter L. Bartlett
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm. CoRR (2021)
Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
Momentum in Reinforcement Learning. AISTATS (2020)
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
Leverage the Average: an Analysis of Regularization in RL. CoRR (2020)
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning. NeurIPS (2020)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI (2019)
Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
Momentum in Reinforcement Learning. CoRR (2019)
Romain Postoyan, Mathieu Granzotto, Lucian Busoniu, Bruno Scherrer, Dragan Nesic, Jamal Daafouz
Stability guarantees for nonlinear discrete-time systems controlled by approximate value iteration. CDC (2019)
Matthieu Geist, Bruno Scherrer, Olivier Pietquin
A Theory of Regularized Markov Decision Processes. CoRR (2019)
Matthieu Geist, Bruno Scherrer, Olivier Pietquin
A Theory of Regularized Markov Decision Processes. ICML (2019)
Matthieu Geist, Bruno Scherrer
Anderson Acceleration for Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
How to Combine Tree-Search Methods in Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR (2018)
Bruno Scherrer
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration. Math. Oper. Res. 41 (3) (2016)
Julien Pérolat, Bilal Piot, Bruno Scherrer, Olivier Pietquin
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games. AISTATS (2016)
Julien Pérolat, Bilal Piot, Matthieu Geist, Bruno Scherrer, Olivier Pietquin
Softened Approximate Policy Iteration for Markov Games. ICML (2016)
Bruno Scherrer, Matthieu Geist
Recherche locale de politique dans un espace convexe. Rev. d'Intelligence Artif. 29 (6) (2015)
Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon, Boris Lesner, Matthieu Geist
Approximate modified policy iteration and its application to the game of Tetris. J. Mach. Learn. Res. 16 (2015)
Boris Lesner, Bruno Scherrer
Non-Stationary Approximate Modified Policy Iteration. ICML (2015)
Manel Tagorti, Bruno Scherrer
On the Rate of Convergence and Error Bounds for LSTD(\(\lambda\)). ICML (2015)
Julien Pérolat, Bruno Scherrer, Bilal Piot, Olivier Pietquin
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games. ICML (2015)
Bruno Scherrer
Approximate Policy Iteration Schemes: A Comparison. CoRR (2014)
Eugene A. Feinberg, Jefferson Huang, Bruno Scherrer
Modified policy iteration algorithms are not strongly polynomial for discounted dynamic programming. Oper. Res. Lett. 42 (6-7) (2014)
Matthieu Geist, Bruno Scherrer
Off-policy learning with eligibility traces: a survey. J. Mach. Learn. Res. 15 (1) (2014)
Manel Tagorti, Bruno Scherrer
Rate of Convergence and Error Bounds for LSTD(λ). CoRR (2014)
Bruno Scherrer, Matthieu Geist
Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search. ECML/PKDD (3) (2014)
Bruno Scherrer
Approximate Policy Iteration Schemes: A Comparison. ICML (2014)
Boris Lesner, Bruno Scherrer
Tight Performance Bounds for Approximate Modified Policy Iteration with Non-Stationary Policies CoRR (2013)
Victor Gabillon, Mohammad Ghavamzadeh, Bruno Scherrer
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris. NIPS (2013)
Bruno Scherrer
Performance bounds for λ policy iteration and application to the game of Tetris. J. Mach. Learn. Res. 14 (1) (2013)
Bruno Scherrer
On the Performance Bounds of some Policy Search Dynamic Programming Algorithms. CoRR (2013)
Bruno Scherrer, Matthieu Geist
Policy Search: Any Local Optimum Enjoys a Global Performance Guarantee. CoRR (2013)
Bruno Scherrer
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration. CoRR (2013)
Matthieu Geist, Bruno Scherrer
Off-policy Learning with Eligibility Traces: A Survey CoRR (2013)
Bruno Scherrer
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration. NIPS (2013)
Bruno Scherrer, Boris Lesner
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes CoRR (2012)
Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
Approximate Modified Policy Iteration. ICML (2012)
Bruno Scherrer
On the Use of Non-Stationary Policies for Infinite-Horizon Discounted Markov Decision Processes CoRR (2012)
Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
Approximate Modified Policy Iteration CoRR (2012)
Bruno Scherrer, Boris Lesner
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes. NIPS (2012)
Matthieu Geist, Bruno Scherrer, Alessandro Lazaric, Mohammad Ghavamzadeh
A Dantzig Selector Approach to Temporal Difference Learning. ICML (2012)
Matthieu Geist, Bruno Scherrer
ℓ1-Penalized Projected Bellman Residual. EWRL (2011)
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Bruno Scherrer
Classification-based Policy Iteration with a Critic. ICML (2011)
Bruno Scherrer, Matthieu Geist
Recursive Least-Squares Learning with Eligibility Traces. EWRL (2011)
Bruno Scherrer
Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view CoRR (2010)
Bruno Scherrer
Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view. ICML (2010)
Christophe Thiery, Bruno Scherrer
Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems. ICML (2010)
Christophe Thiery, Bruno Scherrer
Building Controllers for Tetris. J. Int. Comput. Games Assoc. 32 (1) (2009)
Christophe Thiery, Bruno Scherrer
Improvements on Learning Tetris with Cross Entropy. J. Int. Comput. Games Assoc. 32 (1) (2009)
Christophe Thiery, Bruno Scherrer
Construction d'un joueur artificiel pour Tetris. Rev. d'Intelligence Artif. 23 (2-3) (2009)
Amine M. Boumaza, Bruno Scherrer
Analyse d'un algorithme d'intelligence en essaim pour le fourragement. Rev. d'Intelligence Artif. 22 (6) (2008)
César Torres-Huitzil, Bernard Girau, Amine M. Boumaza, Bruno Scherrer
Embedded Harmonic Control for Trajectory Planning in Large Environments. ReConFig (2008)
Marek Petrik, Bruno Scherrer
Biasing Approximate Dynamic Programming with a Lower Discount Factor. NIPS (2008)
Amine M. Boumaza, Bruno Scherrer
Optimal control subsumes harmonic control. ICRA (2007)
Bruno Scherrer
Performance Bounds for Lambda Policy Iteration CoRR (2007)
Amine M. Boumaza, Bruno Scherrer
Convergence and rate of convergence of a foraging ant model. IEEE Congress on Evolutionary Computation (2007)
Amine M. Boumaza, Bruno Scherrer
Convergence and rate of convergence of a simple ant model. AAMAS (2007)
Bruno Scherrer
Modular self-organization CoRR (2006)
Bruno Scherrer
Asynchronous neurocomputing for optimal control and reinforcement learning with large state spaces. Neurocomputing 63 (2005)
Bruno Scherrer
Modular self-organization for a long-living autonomous agent. IJCAI (2003)
Bruno Scherrer
Parallel asynchronous distributed computations of optimal control in large state space Markov Decision processes. ESANN (2003)
Iadine Chades, Bruno Scherrer, François Charpillet
Planning Cooperative Homogeneous Multiagent Systems Using Markov Decision Processes. ICEIS (2) (2003)
Bruno Scherrer, François Charpillet
Cooperative Co-Learning: A Model-Based Approach for Solving Multi Agent Reinforcement Problems. ICTAI (2002)
Bruno Scherrer, François Charpillet
Coevolutive planning in markov decision processes. AAMAS (2002)
Iadine Chades, Bruno Scherrer, François Charpillet
A heuristic approach for solving decentralized-POMDP: assessment on the pursuit problem. SAC (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bruno Scherrer