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16 résultats
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Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient OptimizationJournal of Open Source Software, 2018, 3 (26), ⟨10.21105/joss.00545⟩
Article dans une revue
hal-01884299v1
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Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for RoboticsICRA 2018 - International Conference on Robotics and Automation, May 2018, brisbane, Australia
Communication dans un congrès
hal-01768285v1
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Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated PriorsBayesian Optimization: Black-box Optimization and Beyond (workshop at NIPS), 2016, Barcelone, Spain
Communication dans un congrès
hal-01407757v1
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Comparing multimodal optimization and illuminationGenetic and Evolutionary Computation Conference (GECCO 2017), 2017, Berlin, Germany
Communication dans un congrès
hal-01518802v1
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20 Years of Reality Gap: a few Thoughts about Simulators in Evolutionary RoboticsWorkshop "Simulation in Evolutionary Robotics", Genetic and Evolutionary Computation Conference, 2017, Berlin, Germany. ⟨10.1145/3067695.3082052⟩
Communication dans un congrès
hal-01518764v1
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Alternating Optimisation and Quadrature for Robust ControlAAAI 2018 - The Thirty-Second AAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States
Communication dans un congrès
hal-01644063v1
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A comparison of illumination algorithms in unbounded spacesWorkshop "Measuring and Promoting Diversity in Evolutionary Algorithms", Genetic and Evolutionary Computation Conference, 2017, Berlin, Germany
Communication dans un congrès
hal-01518814v1
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Micro-Data Reinforcement Learning for Adaptive RobotsRobotics [cs.RO]. Université de Lorraine, 2018. English. ⟨NNT : 2018LORR0276⟩
Thèse
tel-01966770v1
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Towards semi-episodic learning for robot damage recoveryWorkshop on AI for Long-Term Autonomy at the IEEE International Conference on Robotics and Automation (ICRA), Lars Kunze; Nick Hawes; Tom Duckett; Gabe Sibley, May 2016, Stockholm, Sweden
Communication dans un congrès
hal-01376288v1
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Robust Reinforcement Learning with Bayesian Optimisation and QuadratureJournal of Machine Learning Research, 2020, 21, pp.1 - 31
Article dans une revue
hal-02943567v1
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Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse RewardsCoRL 2018 - Conference on Robot Learning, Oct 2018, Zurich, Switzerland
Communication dans un congrès
hal-01884294v1
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A survey on policy search algorithms for learning robot controllers in a handful of trialsIEEE Transactions on Robotics, 2020, 36 (2), pp.328-347. ⟨10.1109/TRO.2019.2958211⟩
Article dans une revue
hal-02393432v1
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Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites AlgorithmIEEE Transactions on Evolutionary Computation, 2017, pp.9. ⟨10.1109/TEVC.2017.2735550⟩
Article dans une revue
hal-01630627v1
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Black-Box Data-efficient Policy Search for RoboticsIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, Canada
Communication dans un congrès
hal-01576683v1
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Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy SearchICRA 2018 - International Conference on Robotics and Automation, May 2018, Brisbane, Australia
Communication dans un congrès
hal-01768279v1
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Reset-free Trial-and-Error Learning for Robot Damage RecoveryRobotics and Autonomous Systems, 2017, pp.1-19. ⟨10.1016/j.robot.2017.11.010⟩
Article dans une revue
hal-01654641v2
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