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Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm.

J. Günther, A. Kearney, N. Ady, M. Dawson, and P. Pilarski. AAMAS, page 1967-1969. International Foundation for Autonomous Agents and Multiagent Systems, (2019)

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Prof. Dr. Günther Bien University of Stuttgart

Maiken Günther University of Stuttgart

Dr. Michael Günther University of Stuttgart

Ph. D. Thomas Günther University of Stuttgart

Hon. -Prof. Dr. rer. nat. Gunther Richter University of Stuttgart

Other publications of authors with the same name

State of the Art in Ray Tracing Animated Scenes.I. Wald, W. Mark, J. Günther, S. Boulos, T. Ize, W. Hunt, S. Parker, and P. Shirley. Comput. Graph. Forum, 28 (6): 1691-1722 (2009)Realtime Caustics using Distributed Photon Mapping.J. Günther, I. Wald, and P. Slusallek. Rendering Techniques, page 111-122. Eurographics Association, (2004)Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm.J. Günther, A. Kearney, N. Ady, M. Dawson, and P. Pilarski. AAMAS, page 1967-1969. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Exploring the use of ray tracing for future games.H. Friedrich, J. Günther, A. Dietrich, M. Scherbaum, H. Seidel, and P. Slusallek. Sandbox@SIGGRAPH, page 41-50. ACM, (2006)Ray Tracing Animated Scenes using Motion Decomposition.J. Günther, H. Friedrich, I. Wald, H. Seidel, and P. Slusallek. Comput. Graph. Forum, 25 (3): 517-525 (2006)Scalable Ray Tracing Using the Distributed FrameBuffer.W. Usher, I. Wald, J. Amstutz, J. Günther, C. Brownlee, and V. Pascucci. Comput. Graph. Forum, 38 (3): 455-466 (2019)Visualizing the world's largest turbulence simulation.S. Cielo, L. Iapichino, J. Günther, C. Federrath, E. Mayer, and M. Wiedemann. CoRR, (2019)Stackless KD-Tree Traversal for High Performance GPU Ray Tracing.S. Popov, J. Günther, H. Seidel, and P. Slusallek. Comput. Graph. Forum, 26 (3): 415-424 (2007)State of the Art in Ray Tracing Animated Scenes.I. Wald, W. Mark, J. Günther, S. Boulos, T. Ize, W. Hunt, S. Parker, and P. Shirley. Eurographics (STARs), page 89-116. Eurographics Association, (2007)General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison.J. Günther, E. Reichensdörfer, P. Pilarski, and K. Diepold. CoRR, (2019)