Artículos de revistas sobre el tema "Reinforcement Motor Learning"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Reinforcement Motor Learning".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Vassiliadis, Pierre, Gerard Derosiere, Cecile Dubuc, Aegryan Lete, Frederic Crevecoeur, Friedhelm C. Hummel y Julie Duque. "Reward boosts reinforcement-based motor learning". iScience 24, n.º 7 (julio de 2021): 102821. http://dx.doi.org/10.1016/j.isci.2021.102821.
Texto completoUehara, Shintaro, Firas Mawase, Amanda S. Therrien, Kendra M. Cherry-Allen y Pablo Celnik. "Interactions between motor exploration and reinforcement learning". Journal of Neurophysiology 122, n.º 2 (1 de agosto de 2019): 797–808. http://dx.doi.org/10.1152/jn.00390.2018.
Texto completoSistani, Mohammad Bagher Naghibi y Sadegh Hesari. "Decreasing Induction Motor Loss Using Reinforcement Learning". Journal of Automation and Control Engineering 3, n.º 6 (2015): 13–17. http://dx.doi.org/10.12720/joace.4.1.13-17.
Texto completoPalidis, Dimitrios J., Heather R. McGregor, Andrew Vo, Penny A. MacDonald y Paul L. Gribble. "Null effects of levodopa on reward- and error-based motor adaptation, savings, and anterograde interference". Journal of Neurophysiology 126, n.º 1 (1 de julio de 2021): 47–67. http://dx.doi.org/10.1152/jn.00696.2020.
Texto completoIZAWA, Jun, Toshiyuki KONDO y Koji ITO. "Motor Learning Model through Reinforcement Learning with Neural Internal Model". Transactions of the Society of Instrument and Control Engineers 39, n.º 7 (2003): 679–87. http://dx.doi.org/10.9746/sicetr1965.39.679.
Texto completoPeters, Jan y Stefan Schaal. "Reinforcement learning of motor skills with policy gradients". Neural Networks 21, n.º 4 (mayo de 2008): 682–97. http://dx.doi.org/10.1016/j.neunet.2008.02.003.
Texto completoSidarta, Ananda, John Komar y David J. Ostry. "Clustering analysis of movement kinematics in reinforcement learning". Journal of Neurophysiology 127, n.º 2 (1 de febrero de 2022): 341–53. http://dx.doi.org/10.1152/jn.00229.2021.
Texto completoSidarta, Ananda, Floris T. van Vugt y David J. Ostry. "Somatosensory working memory in human reinforcement-based motor learning". Journal of Neurophysiology 120, n.º 6 (1 de diciembre de 2018): 3275–86. http://dx.doi.org/10.1152/jn.00442.2018.
Texto completoTian, Mengqi, Ke Wang, Hongyu Lv y Wubin Shi. "Reinforcement learning control method of torque stability of three-phase permanent magnet synchronous motor". Journal of Physics: Conference Series 2183, n.º 1 (1 de enero de 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2183/1/012024.
Texto completoUehara, Shintaro, Firas Mawase y Pablo Celnik. "Learning Similar Actions by Reinforcement or Sensory-Prediction Errors Rely on Distinct Physiological Mechanisms". Cerebral Cortex 28, n.º 10 (14 de septiembre de 2017): 3478–90. http://dx.doi.org/10.1093/cercor/bhx214.
Texto completoHolland, Peter, Olivier Codol y Joseph M. Galea. "Contribution of explicit processes to reinforcement-based motor learning". Journal of Neurophysiology 119, n.º 6 (1 de junio de 2018): 2241–55. http://dx.doi.org/10.1152/jn.00901.2017.
Texto completoWarlaumont, Anne S., Gert Westermann, Eugene H. Buder y D. Kimbrough Oller. "Prespeech motor learning in a neural network using reinforcement". Neural Networks 38 (febrero de 2013): 64–75. http://dx.doi.org/10.1016/j.neunet.2012.11.012.
Texto completoTherrien, Amanda S., Daniel M. Wolpert y Amy J. Bastian. "Increasing Motor Noise Impairs Reinforcement Learning in Healthy Individuals". eneuro 5, n.º 3 (mayo de 2018): ENEURO.0050–18.2018. http://dx.doi.org/10.1523/eneuro.0050-18.2018.
Texto completoHahnloser, Richard y Anja Zai. "A computational view on motor exploration during reinforcement learning". IBRO Reports 6 (septiembre de 2019): S50. http://dx.doi.org/10.1016/j.ibror.2019.07.155.
Texto completoPyle, Ryan y Robert Rosenbaum. "A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity". Neural Computation 31, n.º 7 (julio de 2019): 1430–61. http://dx.doi.org/10.1162/neco_a_01198.
Texto completoYu, Wanming, Chuanyu Yang, Christopher McGreavy, Eleftherios Triantafyllidis, Guillaume Bellegarda, Milad Shafiee, Auke Jan Ijspeert y Zhibin Li. "Identifying important sensory feedback for learning locomotion skills". Nature Machine Intelligence 5, n.º 8 (21 de agosto de 2023): 919–32. http://dx.doi.org/10.1038/s42256-023-00701-w.
Texto completoYin, Fengyuan, Xiaoming Yuan, Zhiao Ma y Xinyu Xu. "Vector Control of PMSM Using TD3 Reinforcement Learning Algorithm". Algorithms 16, n.º 9 (24 de agosto de 2023): 404. http://dx.doi.org/10.3390/a16090404.
Texto completoMcDougle, Samuel D., Matthew J. Boggess, Matthew J. Crossley, Darius Parvin, Richard B. Ivry y Jordan A. Taylor. "Credit assignment in movement-dependent reinforcement learning". Proceedings of the National Academy of Sciences 113, n.º 24 (31 de mayo de 2016): 6797–802. http://dx.doi.org/10.1073/pnas.1523669113.
Texto completoMaia, T. "A Reinforcement-learning Account of Tourette Syndrome". European Psychiatry 41, S1 (abril de 2017): S10. http://dx.doi.org/10.1016/j.eurpsy.2017.01.083.
Texto completoGuzman, Luis, Vassilios Morellas y Nikolaos Papanikolopoulos. "Robotic Embodiment of Human-Like Motor Skills via Reinforcement Learning". IEEE Robotics and Automation Letters 7, n.º 2 (abril de 2022): 3711–17. http://dx.doi.org/10.1109/lra.2022.3147453.
Texto completoChai, Jiazheng y Mitsuhiro Hayashibe. "Motor Synergy Development in High-Performing Deep Reinforcement Learning Algorithms". IEEE Robotics and Automation Letters 5, n.º 2 (abril de 2020): 1271–78. http://dx.doi.org/10.1109/lra.2020.2968067.
Texto completoArie, Hiroaki, Tetsuya Ogata, Jun Tani y Shigeki Sugano. "Reinforcement learning of a continuous motor sequence with hidden states". Advanced Robotics 21, n.º 10 (enero de 2007): 1215–29. http://dx.doi.org/10.1163/156855307781389365.
Texto completoLu, Huimin, Yujie Li, Shenglin Mu, Dong Wang, Hyoungseop Kim y Seiichi Serikawa. "Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning". IEEE Internet of Things Journal 5, n.º 4 (agosto de 2018): 2315–22. http://dx.doi.org/10.1109/jiot.2017.2737479.
Texto completoKober, Jens, Andreas Wilhelm, Erhan Oztop y Jan Peters. "Reinforcement learning to adjust parametrized motor primitives to new situations". Autonomous Robots 33, n.º 4 (5 de abril de 2012): 361–79. http://dx.doi.org/10.1007/s10514-012-9290-3.
Texto completoYang, Yuguang, Michael A. Bevan y Bo Li. "Micro/Nano Motor Navigation and Localization via Deep Reinforcement Learning". Advanced Theory and Simulations 3, n.º 6 (28 de abril de 2020): 2000034. http://dx.doi.org/10.1002/adts.202000034.
Texto completoKorivand, Soroush, Nader Jalili y Jiaqi Gong. "Inertia-Constrained Reinforcement Learning to Enhance Human Motor Control Modeling". Sensors 23, n.º 5 (1 de marzo de 2023): 2698. http://dx.doi.org/10.3390/s23052698.
Texto completoCho, Nam Jun, Sang Hyoung Lee, Jong Bok Kim y Il Hong Suh. "Learning, Improving, and Generalizing Motor Skills for the Peg-in-Hole Tasks Based on Imitation Learning and Self-Learning". Applied Sciences 10, n.º 8 (15 de abril de 2020): 2719. http://dx.doi.org/10.3390/app10082719.
Texto completoBacon, Pierre-Luc y Doina Precup. "Constructing Temporal Abstractions Autonomously in Reinforcement Learning". AI Magazine 39, n.º 1 (27 de marzo de 2018): 39–50. http://dx.doi.org/10.1609/aimag.v39i1.2780.
Texto completoDominey, Peter F. "Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning". Biological Cybernetics 73, n.º 3 (agosto de 1995): 265–74. http://dx.doi.org/10.1007/bf00201428.
Texto completoFan, Jiang, Zhu Yunpu, Zou Quan y Wang Manyi. "Reinforcement Learning based position control of shell-fetching manipulator with extreme random trees". Journal of Physics: Conference Series 2460, n.º 1 (1 de abril de 2023): 012160. http://dx.doi.org/10.1088/1742-6596/2460/1/012160.
Texto completoBucur, C. "Artificial intelligence driven speed controller for DC motor in series". Scientific Bulletin of Naval Academy XIV, n.º 2 (15 de diciembre de 2021): 83–88. http://dx.doi.org/10.21279/1454-864x-21-i2-007.
Texto completoHwangbo, Jemin, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun y Marco Hutter. "Learning agile and dynamic motor skills for legged robots". Science Robotics 4, n.º 26 (16 de enero de 2019): eaau5872. http://dx.doi.org/10.1126/scirobotics.aau5872.
Texto completoCelemin, Carlos, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters y Jens Kober. "Reinforcement learning of motor skills using Policy Search and human corrective advice". International Journal of Robotics Research 38, n.º 14 (12 de septiembre de 2019): 1560–80. http://dx.doi.org/10.1177/0278364919871998.
Texto completoWang, Quan, Juan Ying Qin y Jun Hua Zhou. "Reinforcement Learning Based Self-Constructing Fuzzy Neural Network Controller for AC Motor Drives". Advanced Materials Research 139-141 (octubre de 2010): 1763–68. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1763.
Texto completoNaros, G., I. Naros, F. Grimm, U. Ziemann y A. Gharabaghi. "Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance". NeuroImage 134 (julio de 2016): 142–52. http://dx.doi.org/10.1016/j.neuroimage.2016.03.016.
Texto completoColino, Francisco L., Matthew Heath, Cameron D. Hassall y Olave E. Krigolson. "Electroencephalographic evidence for a reinforcement learning advantage during motor skill acquisition". Biological Psychology 151 (marzo de 2020): 107849. http://dx.doi.org/10.1016/j.biopsycho.2020.107849.
Texto completoTing, Chih-Chung, Stefano Palminteri, Jan B. Engelmann y Maël Lebreton. "Robust valence-induced biases on motor response and confidence in human reinforcement learning". Cognitive, Affective, & Behavioral Neuroscience 20, n.º 6 (1 de septiembre de 2020): 1184–99. http://dx.doi.org/10.3758/s13415-020-00826-0.
Texto completoLi, Zhongxing, Jiufeng He, Haixia Ma, Guojian Huang y Junyu Li. "Research on motor speed control algorithm of UAV Based on Reinforcement Learning". Journal of Physics: Conference Series 2396, n.º 1 (1 de diciembre de 2022): 012041. http://dx.doi.org/10.1088/1742-6596/2396/1/012041.
Texto completoRusanen, Anna-Mari, Otto Lappi, Jesse Kuokkanen y Jami Pekkanen. "Action control, forward models and expected rewards: representations in reinforcement learning". Synthese 199, n.º 5-6 (1 de noviembre de 2021): 14017–33. http://dx.doi.org/10.1007/s11229-021-03408-w.
Texto completoWang, Jinsung, Yuming Lei y Jeffrey R. Binder. "Performing a reaching task with one arm while adapting to a visuomotor rotation with the other can lead to complete transfer of motor learning across the arms". Journal of Neurophysiology 113, n.º 7 (abril de 2015): 2302–8. http://dx.doi.org/10.1152/jn.00974.2014.
Texto completoZhang, Niao Na y Guo Liang Wang. "Rolling Bag Station Motor Decoupling Control Based on Multi-Agent on Automobile Safety Airbag". Applied Mechanics and Materials 668-669 (octubre de 2014): 370–73. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.370.
Texto completoMuthurajan, S., Rajaji Loganathan y R. Rani Hemamalini. "Deep Reinforcement Learning Algorithm based PMSM Motor Control for Energy Management of Hybrid Electric Vehicles". WSEAS TRANSACTIONS ON POWER SYSTEMS 18 (7 de marzo de 2023): 18–25. http://dx.doi.org/10.37394/232016.2023.18.3.
Texto completoManohar, Sanjay G. "Tremor in Parkinson's disease inverts the effect of dopamine on reinforcement". Brain 143, n.º 11 (noviembre de 2020): 3178–80. http://dx.doi.org/10.1093/brain/awaa363.
Texto completoIzawa, J., T. Kondou y K. Itou. "2P1-G5 motor jeaning model of upper limbs basd on reinforcement Learning". Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2001 (2001): 60. http://dx.doi.org/10.1299/jsmermd.2001.60_4.
Texto completoNeymotin, Samuel A., George L. Chadderdon, Cliff C. Kerr, Joseph T. Francis y William W. Lytton. "Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex". Neural Computation 25, n.º 12 (diciembre de 2013): 3263–93. http://dx.doi.org/10.1162/neco_a_00521.
Texto completovan Nuland, Annelies J., Rick C. Helmich, Michiel F. Dirkx, Heidemarie Zach, Ivan Toni, Roshan Cools y Hanneke E. M. den Ouden. "Effects of dopamine on reinforcement learning in Parkinson’s disease depend on motor phenotype". Brain 143, n.º 11 (noviembre de 2020): 3422–34. http://dx.doi.org/10.1093/brain/awaa335.
Texto completoHodgkinson, S., J. Steyer, M. Jandl y W. P. Kaschka. "Action-inhibition hierarchies: Using a simple gastropod model to investigate serotonergic and dopaminergic control of action selection and reinforcement learning". European Psychiatry 26, S2 (marzo de 2011): 905. http://dx.doi.org/10.1016/s0924-9338(11)72610-4.
Texto completoTaylor, Heather B., Marcia A. Barnes, Susan H. Landry, Paul Swank, Jack M. Fletcher y Furong Huang. "Motor Contingency Learning and Infants with Spina Bifida". Journal of the International Neuropsychological Society 19, n.º 2 (8 de enero de 2013): 206–15. http://dx.doi.org/10.1017/s1355617712001233.
Texto completoWang, Fang, Kai Xu, Qiao Sheng Zhang, Yi Wen Wang y Xiao Xiang Zheng. "A Multi-Step Neural Control for Motor Brain-Machine Interface by Reinforcement Learning". Applied Mechanics and Materials 461 (noviembre de 2013): 565–69. http://dx.doi.org/10.4028/www.scientific.net/amm.461.565.
Texto completoAlharkan, Hamad. "Torque Ripple Minimization of Variable Reluctance Motor Using Reinforcement Dual NNs Learning Architecture". Energies 16, n.º 13 (21 de junio de 2023): 4839. http://dx.doi.org/10.3390/en16134839.
Texto completo