Learning motor primitives for robotics
暂无分享,去创建一个
[1] R. Bellman. Dynamic programming. , 1957, Science.
[2] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[3] Christopher G. Atkeson,et al. Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming , 1993, NIPS.
[4] Yasuhiro Masutani,et al. Mastering of a Task with Interaction between a Robot and Its Environment. "Kendama" Task. , 1993 .
[5] S. Schaal,et al. A Kendama Learning Robot Based on Bi-directional Theory , 1996, Neural Networks.
[6] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[7] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[8] Jun Nakanishi,et al. Learning Attractor Landscapes for Learning Motor Primitives , 2002, NIPS.
[9] Jun Nakanishi,et al. Control, Planning, Learning, and Imitation with Dynamic Movement Primitives , 2003 .
[10] Nando de Freitas,et al. An Introduction to MCMC for Machine Learning , 2004, Machine Learning.
[11] Alin Albu-Schäffer,et al. Learning from demonstration: repetitive movements for autonomous service robotics , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[12] Jun Morimoto,et al. Learning from demonstration and adaptation of biped locomotion , 2004, Robotics Auton. Syst..
[13] Pieter Abbeel,et al. Apprenticeship learning via inverse reinforcement learning , 2004, ICML.
[14] Stefan Schaal,et al. Rapid synchronization and accurate phase-locking of rhythmic motor primitives , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[15] Tamar Flash,et al. Motor primitives in vertebrates and invertebrates , 2005, Current Opinion in Neurobiology.
[16] Stefan Schaal,et al. Policy Gradient Methods for Robotics , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[17] Aude Billard,et al. Reinforcement learning for imitating constrained reaching movements , 2007, Adv. Robotics.
[18] Stefan Schaal,et al. Reinforcement Learning for Operational Space Control , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[19] Stefan Schaal,et al. Dynamics systems vs. optimal control--a unifying view. , 2007, Progress in brain research.
[20] Jürgen Schmidhuber,et al. State-Dependent Exploration for Policy Gradient Methods , 2008, ECML/PKDD.
[21] Jan Peters,et al. Using Bayesian Dynamical Systems for Motion Template Libraries , 2008, NIPS.
[22] Stefan Schaal,et al. Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields , 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.
[23] Betty J. Mohler,et al. Learning perceptual coupling for motor primitives , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Jan Peters,et al. Policy Search for Motor Primitives in Robotics , 2008, NIPS 2008.
[25] Richard S. Sutton,et al. Reinforcement Learning , 1992, Handbook of Machine Learning.