Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

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Autonomous Motion Conference Paper A Computational Model of Arm Trajectory Modification Using Dynamic Movement Primitives Mohajerian, P., Hoffmann, H., Mistry, M., Schaal, S. In Abstracts of the 37st Meeting of the Society of Neuroscience, San Diego, CA, Nov 3-7, 2007, clmc () PDF BibTeX

Autonomous Motion Conference Paper A computational model of human trajectory planning based on convergent flow fields Hoffman, H., Schaal, S. In Abstracts of the 37st Meeting of the Society of Neuroscience, San Diego, CA, Nov. 3-7, 2007, clmc () BibTeX

Autonomous Motion Conference Paper A robust quadruped walking gait for traversing rough terrain Pongas, D., Mistry, M., Schaal, S. In International Conference on Robotics and Automation (ICRA2007), :1474-1479, Rome, April 10-14, 2007, 2007, clmc () URL BibTeX

Autonomous Motion Conference Paper Applying the episodic natural actor-critic architecture to motor primitive learning Peters, J., Schaal, S. In Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, April 25-27, 2007, clmc () URL BibTeX

Autonomous Motion Conference Paper Bayesian Nonparametric Regression with Local Models Ting, J., Schaal, S. In Workshop on Robotic Challenges for Machine Learning, NIPS 2007, 2007, clmc () BibTeX

Autonomous Motion Book Chapter Dynamics systems vs. optimal control ? a unifying view Schaal, S., Mohajerian, P., Ijspeert, A. In Progress in Brain Research, (165):425-445, 2007, clmc () URL BibTeX

Autonomous Motion Empirical Inference Conference Paper Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark Riedmiller, M., Peters, J., Schaal, S. In Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, :254-261, ADPRL, 2007, clmc () PDF BibTeX

Autonomous Motion Conference Paper Inverse dynamics control with floating base and constraints Nakanishi, J., Mistry, M., Schaal, S. In International Conference on Robotics and Automation (ICRA2007), :1942-1947, Rome, Italy, April 10-14, 2007, clmc () URL BibTeX

Autonomous Motion Conference Paper Kernel carpentry for onlne regression using randomly varying coefficient model Edakunni, N. U., Schaal, S., Vijayakumar, S. In Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India: Jan. 6-12, 2007, clmc () URL BibTeX

Autonomous Motion Technical Report Learning an Outlier-Robust Kalman Filter Ting, J., Theodorou, E., Schaal, S. CLMC Technical Report: TR-CLMC-2007-1, Los Angeles, CA, 2007, clmc () PDF BibTeX

Autonomous Motion Empirical Inference Conference Paper Policy Learning for Motor Skills Peters, J., Schaal, S. In Proceedings of 14th International Conference on Neural Information Processing (ICONIP), :233-242, (Editors: Ishikawa, M. , K. Doya, H. Miyamoto, T. Yamakawa), 2007, clmc () PDF DOI BibTeX

Autonomous Motion Empirical Inference Conference Paper Policy gradient methods for machine learning Peters, J., Theodorou, E., Schaal, S. In Proceedings of the 14th INFORMS Conference of the Applied Probability Society, :97-98, Eindhoven, Netherlands, July 9-11, 2007, 2007, clmc () BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement Learning for Optimal Control of Arm Movements Theodorou, E., Peters, J., Schaal, S. In Abstracts of the 37st Meeting of the Society of Neuroscience., Neuroscience, 2007, clmc () BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement learning by reward-weighted regression for operational space control Peters, J., Schaal, S. In Proceedings of the 24th Annual International Conference on Machine Learning, :745-750, ICML, 2007, clmc () DOI URL BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement learning for operational space control Peters, J., Schaal, S. In Proceedings of the 2007 IEEE International Conference on Robotics and Automation, :2111-2116, IEEE Computer Society, ICRA, 2007, clmc () DOI URL BibTeX

Autonomous Motion Empirical Inference Technical Report Relative Entropy Policy Search Peters, J. CLMC Technical Report: TR-CLMC-2007-2, Computational Learning and Motor Control Lab, Los Angeles, CA, 2007, clmc () PDF URL BibTeX

Autonomous Motion Conference Paper Task space control with prioritization for balance and locomotion Mistry, M., Nakanishi, J., Schaal, S. In IEEE International Conference on Intelligent Robotics Systems (IROS 2007), San Diego, CA: Oct. 29 Ð Nov. 2, 2007, clmc () URL BibTeX

Autonomous Motion Article The new robotics - towards human-centered machines Schaal, S. HFSP Journal Frontiers of Interdisciplinary Research in the Life Sciences, 1(2):115-126, 2007, clmc () URL BibTeX

Autonomous Motion Empirical Inference Conference Paper Towards Machine Learning of Motor Skills Peters, J., Schaal, S., Schölkopf, B. In Proceedings of Autonome Mobile Systeme (AMS), :138-144, (Editors: K Berns and T Luksch), 2007, clmc () PDF DOI BibTeX

Autonomous Motion Conference Paper Uncertain 3D Force Fields in Reaching Movements: Do Humans Favor Robust or Average Performance? Mistry, M., Theodorou, E., Hoffmann, H., Schaal, S. In Abstracts of the 37th Meeting of the Society of Neuroscience, 2007, clmc () PDF BibTeX

Autonomous Motion Empirical Inference Conference Paper Using reward-weighted regression for reinforcement learning of task space control Peters, J., Schaal, S. In Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, :262-267, Honolulu, Hawaii, April 1-5, 2007, 2007, clmc () DOI URL BibTeX