Antoine Cully

収録論文 32本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Onboard MuJoCo-based Model Predictive Control for Shipboard Crane with Double-Pendulum Sway Suppression
  2026/3/1
• Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery
  2025/9/1
• From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
  2025/8/26
• From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
  2025/8/1
• Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
  2025/4/1
• Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
  2025/1/1
• Quality with Just Enough Diversity in Evolutionary Policy Search
  2024/5/1
• Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
  2024/1/1
• Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
  2023/4/1
• Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
  2023/4/1
• Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
  2023/3/1
• Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
  2023/3/1
• Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
  2023/2/1
• Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
  2022/11/1
• Discovering Unsupervised Behaviours from Full-State Trajectories
  2022/11/1
• Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
  2022/10/1
• Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
  2022/10/1
• Learning to Walk Autonomously via Reset-Free Quality-Diversity
  2022/4/1
• Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms
  2022/4/1
• Hierarchical Quality-Diversity for Online Damage Recovery
  2022/4/1
• Accelerated Quality-Diversity through Massive Parallelism
  2022/2/1
• Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
  2021/9/1
• Unsupervised Behaviour Discovery with Quality-Diversity Optimisation
  2021/6/1
• Fast and stable MAP-Elites in noisy domains using deep grids
  2020/6/1
• Multimodal representation models for prediction and control from partial information
  2019/10/1
• Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors
  2019/5/1
• Hierarchical Behavioral Repertoires with Unsupervised Descriptors
  2018/4/1
• Limbo: A Fast and Flexible Library for Bayesian Optimization
  2016/11/1
• Towards semi-episodic learning for robot damage recovery
  2016/10/1
• Robots that can adapt like animals
  2014/7/1
• Evolving a Behavioral Repertoire for a Walking Robot
  2013/8/1
• Fast Damage Recovery in Robotics with the T-Resilience Algorithm
  2013/2/1