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Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation.

, , and . CoRR, (2017)

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Multi-timestep models for Model-based Reinforcement Learning., , , , and . CoRR, (2023)Editorial to the "Evolutionary Reinforcement Learning" Special Issue., , and . ACM Trans. Evol. Learn. Optim., 3 (3): 9:1-9:2 (September 2023)A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments., , , , , and . CoRR, (2017)Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning., , and . CoRR, (2017)Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation., , and . CoRR, (2017)A call for embodied AI., , and . CoRR, (2024)Novelty search makes evolvability inevitable., , , and . GECCO, page 85-93. ACM, (2020)Learning in Sparse Rewards settings through Quality-Diversity algorithms. (Apprentissage par renforcement dans le cas de récompenses rares avec exploration par algorithmes de Qualité-Diversité et construction autonome d'espace d'état).. Sorbonne University, Paris, France, (2021)Learning in Sparse Rewards settings through Quality-Diversity algorithms.. CoRR, (2022)A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments., , , , , and . ICRA, page 1-8. IEEE, (2018)