Nicolas Bredeche

Nicolas Bredeche, Jean-Marc Montanier, Berend Weel, Evert Haasdijk: Roborobo! a Fast Robot Simulator for Swarm and Collective Robotics. CoRR abs/1304.2888 (2013)

Leo Cazenille, Nicolas Bredeche, Heiko Hamann, Jürgen Stradner: Impact of neuron models and network structure on evolving modular robot neural network controllers. GECCO 2012: 89-96

Alexandre Devert, Nicolas Bredeche, Marc Schoenauer: Robustness and the Halting Problem for Multicellular Artificial Ontogeny. IEEE Trans. Evolutionary Computation 15(3): 387-404 (2011)

Jean-Marc Montanier, Nicolas Bredeche: Emergence of altruism in open-ended evolution in a population of autonomous agents. GECCO (Companion) 2011: 25-26

Asuki Kouno, Jean-Marc Montanier, Shigeru Takano, Nicolas Bredeche, Marc Schoenauer, Michèle Sebag, Einoshin Suzuki: On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics. IAT 2011: 220-227

Nicolas Bredeche, Jean-Marc Montanier: Environment-Driven Embodied Evolution in a Population of Autonomous Agents. PPSN (2) 2010: 290-299

Nicolas Bredeche, Evert Haasdijk, A. E. Eiben: On-Line, On-Board Evolution of Robot Controllers. Artificial Evolution 2009: 110-121

G. Baele, Nicolas Bredeche, Evert Haasdijk, Steven Maere, Nico K. Michiels, Yves Van de Peer, Thomas Schmickl, Christopher S. F. Schwarzer, Ronald Thenius: Open-ended on-board Evolutionary Robotics for robot swarms. IEEE Congress on Evolutionary Computation 2009: 1123-1130

Cédric Hartland, Nicolas Bredeche, Michèle Sebag: Memory-enhanced Evolutionary Robotics: The Echo State Network Approach. IEEE Congress on Evolutionary Computation 2009: 2788-2795

Nur Merve Amil, Nicolas Bredeche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud: A Statistical Learning Perspective of Genetic Programming. EuroGP 2009: 327-338

Nicolas Bredeche, Yann Chevaleyre: The robot swarm re-localization problem. ROBIO 2008: 1876-1881

Nicolas Bredeche: A Multi-cellular Developmental System in Continuous Space Using Cell Migration. SAB 2008: 260-269

Alexandre Devert, Nicolas Bredeche, Marc Schoenauer: Artificial Ontogeny for Truss Structure Design. SASO Workshops 2008: 298-305

Alexandre Devert, Nicolas Bredeche, Marc Schoenauer: Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny. Artificial Evolution 2007: 278-290

Alexandre Devert, Nicolas Bredeche, Marc Schoenauer: Robust multi-cellular developmental design. GECCO 2007: 982-989

Charles Tijus, Elisabetta Zibetti, Vincent Besson, Nicolas Bredeche, Yves Kodratoff, Mary Felkin, Cédric Hartland: Human Heuristics for a Team of Mobile Robots. RIVF 2007: 122-129

Cédric Hartland, Nicolas Bredeche: Using echo state networks for robot navigation behavior acquisition. ROBIO 2007: 201-206

Alexandre Devert, Nicolas Bredeche, Marc Schoenauer: Robust Multi-Cellular Developmental Design. CoRR abs/0705.1309 (2007)

Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer: Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint. Revue d'Intelligence Artificielle 20(6): 805-827 (2006)

Alexandre Devert, Nicolas Bredeche, Marc Schoenauer: Blindbuilder: A New Encoding to Evolve Lego-Like Structures. EuroGP 2006: 61-72

Cédric Hartland, Nicolas Bredeche: Evolutionary Robotics, Anticipation and the Reality Gap. ROBIO 2006: 1640-1645

Louis Hugues, Nicolas Bredeche: Simbad: An Autonomous Robot Simulation Package for Education and Research. SAB 2006: 831-842

Sylvain Gelly, Nicolas Bredeche, Michèle Sebag: HMM hiérarchiques et factorisés: mécanisme d'inférence et apprentissage à partir de peu de données. CAP 2005: 143-144

Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer: Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable? CAP 2005: 163-178

Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer: A statistical learning theory approach of bloat. GECCO 2005: 1783-1784

Sylvain Gelly, Nicolas Bredeche, Michèle Sebag: From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm. SARA 2005: 107-120

Nicolas Bredeche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah: A meta-learning approach to ground symbols from visual percepts. Robotics and Autonomous Systems 43(2-3): 149-162 (2003)

Nicolas Bredeche, Zhongzhi Shi, Jean-Daniel Zucker: Perceptual Learning and Abstraction in Machine Learning. IEEE ICCI 2003: 18-25

Nicolas Bredeche, Yann Chevaleyre, Louis Hugues: Wrapper for Object Detection in an Autonomous Mobile Robot. ICPR (2) 2002: 749-752

Nicolas Bredeche, Jean-Daniel Zucker, Yann Chevaleyre: A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI 2002: 616

Jean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta: Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273

Nicolas Bredeche, Jean-Daniel Zucker: From Distributed Robot Perception to Human Topology: A Learning Model. DARS 2000: 469-470