Konstantinos Chatzilygeroudis
収録論文 22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
- Real-Time Nonlinear MPC via Sequential Quadratic Programming with Structure-Exploiting ADMM and Interior-Point Methods for Underactuated Double-Pendulum Swing-Up2026/8/1
- PGTT: Phase-Guided Terrain Traversal for Perceptive Legged Locomotion2025/10/1
- Learning and Optimization with 3D Orientations2025/9/1
- A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning2025/8/1
- Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization2025/4/1
- Gait Optimization for Legged Systems Through Mixed Distribution Cross-Entropy Optimization2024/10/1
- End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies2023/5/1
- Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks2022/12/1
- Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity2022/10/1
- Learning Skill-based Industrial Robot Tasks with User Priors2022/8/1
- Hierarchical Quality-Diversity for Online Damage Recovery2022/4/1
- Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration2022/3/1
- Learning of Parameters in Behavior Trees for Movement Skills2021/9/1
- A survey on policy search algorithms for learning robot controllers in a handful of trials2018/7/1
- Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards2018/6/1
- Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search2017/9/1
- Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics2017/9/1
- Black-Box Data-efficient Policy Search for Robotics2017/3/1
- Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors2016/11/1
- Limbo: A Fast and Flexible Library for Bayesian Optimization2016/11/1
- Reset-free Trial-and-Error Learning for Robot Damage Recovery2016/10/1
- Towards semi-episodic learning for robot damage recovery2016/10/1