| 2026 | AAAI | Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization. | Paul Strang, Zacharie Als, Cme Bissuel, Olivier Juan, Safia Kedad-Sidhoum, Emmanuel Rachelson |
| 2024 | CEC | Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. | Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson |
| 2024 | CPAIOR | Learning Heuristics for Combinatorial Optimization Problems on K-Partite Hypergraphs. | Mehdi Zouitine, Ahmad Berjaoui, Agns Lagnoux, Clment Pellegrini, Emmanuel Rachelson |
| 2024 | GECCO | Quality with Just Enough Diversity in Evolutionary Policy Search. | Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully |
| 2024 | GECCO | Summary of "Curiosity creates Diversity in Policy Search". | Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis Wilson |
| 2024 | ISSTA | Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper). | Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Florent Teichteil-Knigsbuch, Nicolas Schneider, Hlne Waeselynck, Dennis Wilson |
| 2022 | GECCO | LUCIE: an evaluation and selection method for stochastic problems. | Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson |
| 2022 | ICLR | Local Feature Swapping for Generalization in Reinforcement Learning. | David Bertoin, Emmanuel Rachelson |
| 2022 | ICML | Large Batch Experience Replay. | Thibault Lahire, Matthieu Geist, Emmanuel Rachelson |
| 2021 | AAAI | Lipschitz Lifelong Reinforcement Learning. | Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman |
| 2021 | GECCO | A geometric encoding for neural network evolution. | Paul Templier, Emmanuel Rachelson, Dennis G. Wilson |
| 2019 | ICORES | Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization. | Luca Mossina, Emmanuel Rachelson, Daniel Delahaye |
| 2018 | IJCAI | Open Loop Execution of Tree-Search Algorithms. | Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson |
| 2016 | ICPRAM | Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference. | Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier |
| 2016 | ICPRAM | Approximate Inference in Related Multi-output Gaussian Process Regression. | Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier |
| 2011 | ICAART | Optimal Sample Selection for Batch-mode Reinforcement Learning. | Emmanuel Rachelson, Franois Schnitzler, Louis Wehenkel, Damien Ernst |
| 2010 | ISAIM | On the locality of action domination in sequential decision making. | Emmanuel Rachelson, Michail G. Lagoudakis |
| 2010 | ICTAI | Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning. | Emmanuel Rachelson, Ala Ben Abbes, Sebastien Diemer |
| 2009 | ICTAI | TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs. | Emmanuel Rachelson, Patrick Fabiani, Frdrick Garia |
| 2008 | ECAI | A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes. | Emmanuel Rachelson, Gauthier Quesnel, Frdrick Garia, Patrick Fabiani |
| 2008 | ISAIM | Extending the Bellman equation for MDPs to continuous actions and cont. time in the discounted case. | Emmanuel Rachelson, Frdrick Garia, Patrick Fabiani |