메뉴 건너뛰기




Volumn , Issue , 2016, Pages

Learning visual predictive models of physics for playing billiards

Author keywords

[No Author keywords available]

Indexed keywords

GOAL DIRECTED; INTERNAL MODELING; INTERNAL SIMULATIONS; PHYSICAL LAWS; PREDICTIVE MODELS; TARGET POSITION; TRANSLATIONAL INVARIANCE;

EID: 85083954419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (140)

References (31)
  • 1
    • 84944397333 scopus 로고    scopus 로고
    • Computing the physical parameters of rigid-body motion from video
    • Heyden, Anders, Sparr, Gunnar, Nielsen, Mads, and Johansen, Peter (eds), Springer
    • Bhat, Kiran S., Seitz, Steven M., and Popovic, Jovan. Computing the physical parameters of rigid-body motion from video. In Heyden, Anders, Sparr, Gunnar, Nielsen, Mads, and Johansen, Peter (eds.), ECCV (1), volume 2350 of Lecture Notes in Computer Science, pp. 551–565. Springer, 2002. ISBN 3-540-43745-2. URL http://dblp.uni-trier.de/db/conf/eccv/eccv2002-1.html#BhatSP02.
    • (2002) ECCV (1), Volume 2350 of Lecture Notes in Computer Science , pp. 551-565
    • Bhat, K.S.1    Seitz, S.M.2    Popovic, J.3
  • 2
    • 84929192339 scopus 로고    scopus 로고
    • Learning predictive models of a depth camera & manipulator from raw execution traces
    • Hong Kong, China, May 31 June 7, 2014
    • Boots, Byron, Byravan, Arunkumar, and Fox, Dieter. Learning predictive models of a depth camera & manipulator from raw execution traces. In 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, pp. 4021–4028, 2014. doi: 10.1109/ICRA.2014.6907443. URL http://dx.doi.org/10.1109/ICRA.2014.6907443.
    • (2014) 2014 IEEE International Conference on Robotics and Automation, ICRA 2014 , pp. 4021-4028
    • Boots, B.1    Byravan, A.2    Fox, D.3
  • 3
    • 0030685285 scopus 로고    scopus 로고
    • Coupled hidden markov models for complex action recognition
    • Brand, M., Oliver, N., and Pentland, A. Coupled hidden markov models for complex action recognition. In CVPR, 1997.
    • (1997) CVPR
    • Brand, M.1    Oliver, N.2    Pentland, A.3
  • 5
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden markov models
    • Ghahramani, Zoubin and Jordan, Michael I. Factorial hidden markov models. Mach. Learn., 29, 1997.
    • (1997) Mach. Learn. , vol.29
    • Ghahramani, Z.1    Jordan, M.I.2
  • 7
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • Hansen, Nikolaus and Ostermeier, Andreas. Completely derandomized self-adaptation in evolution strategies. Evolutionary computation, 9(2):159–195, 2001.
    • (2001) Evolutionary Computation , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 8
    • 0035487297 scopus 로고    scopus 로고
    • Mosaic model for sensorimotor learning and control
    • Haruno, Masahiko, Wolpert, David H, and Kawato, Mitsuo. Mosaic model for sensorimotor learning and control. Neural computation, 13(10):2201–2220, 2001.
    • (2001) Neural Computation , vol.13 , Issue.10 , pp. 2201-2220
    • Haruno, M.1    Wolpert, D.H.2    Kawato, M.3
  • 9
    • 0030820631 scopus 로고    scopus 로고
    • Development of smooth pursuit tracking in young infants
    • URL http://www.sciencedirect.com/science/article/pii/S004269899600332X
    • Hofsten, Claes Von and Rosander, Kerstin. Development of smooth pursuit tracking in young infants. Vision Research, 37(13):1799 – 1810, 1997. ISSN 0042-6989. doi: http://dx.doi.org/10.1016/S0042-6989(96)00332-X. URL http://www.sciencedirect.com/science/article/pii/S004269899600332X.
    • (1997) Vision Research , vol.37 , Issue.13 , pp. 1799-1810
    • Hofsten, C.V.1    Rosander, K.2
  • 10
    • 44049116478 scopus 로고
    • Forward models: Supervised learning with a distal teacher
    • Jordan, Michael I and Rumelhart, David E. Forward models: Supervised learning with a distal teacher. Cognitive science, 16(3):307–354, 1992.
    • (1992) Cognitive Science , vol.16 , Issue.3 , pp. 307-354
    • Jordan, M.I.1    Rumelhart, D.E.2
  • 11
    • 77950832758 scopus 로고    scopus 로고
    • The neuro slot car racer: Reinforcement learning in a real world setting
    • Miami Beach, Florida, USA, December 13-15, 2009
    • Kietzmann, Tim C. and Riedmiller, Martin A. The neuro slot car racer: Reinforcement learning in a real world setting. In International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009, pp. 311–316, 2009. doi: 10.1109/ICMLA.2009.15. URL http://dx.doi.org/10.1109/ICMLA.2009.15.
    • (2009) International Conference on Machine Learning and Applications, ICMLA 2009 , pp. 311-316
    • Kietzmann, T.C.1    Riedmiller, M.A.2
  • 12
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep con-volutional neural networks
    • Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E. Imagenet classification with deep con-volutional neural networks. In NIPS. 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 13
    • 84898420257 scopus 로고    scopus 로고
    • Binding computer vision to physics based simulation: The case study of a bouncing ball
    • Dundee, UK, August 29 September 2, 2011. Proceedings
    • Kyriazis, Nikolaos, Oikonomidis, Iason, and Argyros, Antonis A. Binding computer vision to physics based simulation: The case study of a bouncing ball. In British Machine Vision Conference, BMVC 2011, Dundee, UK, August 29 - September 2, 2011. Proceedings, pp. 1–11, 2011. doi: 10.5244/C.25.43. URL http://dx.doi.org/10.5244/C.25.43.
    • (2011) British Machine Vision Conference, BMVC 2011 , pp. 1-11
    • Kyriazis, N.1    Oikonomidis, I.2    Argyros, A.A.3
  • 14
    • 84865083902 scopus 로고    scopus 로고
    • Autonomous reinforcement learning on raw visual input data in a real world application
    • Brisbane, Australia, June 10-15, 2012
    • Lange, Sascha, Riedmiller, Martin A., and Voigtländer, Arne. Autonomous reinforcement learning on raw visual input data in a real world application. In The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012, pp. 1–8, 2012. doi: 10.1109/IJCNN.2012.6252823. URL http://dx.doi.org/10.1109/IJCNN.2012.6252823.
    • (2012) The 2012 International Joint Conference on Neural Networks (IJCNN) , pp. 1-8
    • Lange, S.1    Riedmiller, M.A.2    Voigtländer, A.3
  • 15
    • 85028018890 scopus 로고    scopus 로고
    • End-to-end training of deep visuomotor policies
    • Levine, Sergey, Finn, Chelsea, Darrell, Trevor, and Abbeel, Pieter. End-to-end training of deep visuomotor policies. CoRR, abs/1504.00702, 2015. URL http://arxiv.org/abs/1504.00702.
    • (2015) CoRR
    • Levine, S.1    Finn, C.2    Darrell, T.3    Abbeel, P.4
  • 17
    • 84919460942 scopus 로고    scopus 로고
    • Model predictive control: Recent developments and future promise
    • URL http://www.sciencedirect.com/science/article/pii/S0005109814005160
    • Mayne, David Q. Model predictive control: Recent developments and future promise. Automat-ica, 50(12):2967 – 2986, 2014. ISSN 0005-1098. doi: http://dx.doi.org/10.1016/j.automatica.2014.10.128. URL http://www.sciencedirect.com/science/article/pii/S0005109814005160.
    • (2014) Automat-Ica , vol.50 , Issue.12 , pp. 2967-2986
    • Mayne, D.Q.1
  • 20
    • 85032483665 scopus 로고    scopus 로고
    • Newtonian image understanding: Unfolding the dynamics of objects in static images
    • Mottaghi, Roozbeh, Bagherinezhad, Hessam, Rastegari, Mohammad, and Farhadi, Ali. Newtonian image understanding: Unfolding the dynamics of objects in static images. CoRR, abs/1511.04048, 2015. URL http://arxiv.org/abs/1511.04048.
    • (2015) CoRR
    • Mottaghi, R.1    Bagherinezhad, H.2    Rastegari, M.3    Farhadi, A.4
  • 22
    • 84856660172 scopus 로고    scopus 로고
    • Physically-based motion models for 3d tracking: A convex formulation
    • Metaxas, Dimitris N., Quan, Long, Sanfeliu, Alberto, and Gool, Luc J. Van (eds), IEEE
    • Salzmann, Mathieu and Urtasun, Raquel. Physically-based motion models for 3d tracking: A convex formulation. In Metaxas, Dimitris N., Quan, Long, Sanfeliu, Alberto, and Gool, Luc J. Van (eds.), ICCV, pp. 2064–2071. IEEE, 2011. ISBN 978-1-4577-1101-5. URL http://dblp.uni-trier.de/db/conf/iccv/iccv2011.html#SalzmannU11.
    • (2011) ICCV , pp. 2064-2071
    • Salzmann, M.1    Urtasun, R.2
  • 23
    • 84868323622 scopus 로고    scopus 로고
    • The recurrent temporal restricted boltzmann machine
    • Sutskever, Ilya, Hinton, Geoffrey E., and Taylor, Graham W. The recurrent temporal restricted boltzmann machine. In NIPS, 2008.
    • (2008) NIPS
    • Sutskever, I.1    Hinton, G.E.2    Taylor, G.W.3
  • 25
    • 33845583192 scopus 로고    scopus 로고
    • 3d people tracking with Gaussian process dynamical models
    • Urtasun, Raquel, Fleet, David J., and Fua, Pascal. 3d people tracking with gaussian process dynamical models. In CVPR, 2006.
    • (2006) CVPR
    • Urtasun, R.1    Fleet, D.J.2    Fua, P.3
  • 26
    • 84965104233 scopus 로고    scopus 로고
    • From pixels to torques: Policy learning with deep dynamical models
    • Wahlström, Niklas, Schön, Thomas B., and Deisenroth, Marc Peter. From pixels to torques: Policy learning with deep dynamical models. CoRR, abs/1502.02251, 2015. URL http://arxiv.org/abs/1502.02251.
    • (2015) CoRR
    • Wahlström, N.1    Schön, T.B.2    Deisenroth, M.P.3
  • 27
    • 85063277710 scopus 로고    scopus 로고
    • Embed to control: A locally linear latent dynamics model for control from raw images
    • Watter, Manuel, Springenberg, Jost Tobias, Boedecker, Joschka, and Riedmiller, Martin A. Embed to control: A locally linear latent dynamics model for control from raw images. CoRR, abs/1506.07365, 2015. URL http://arxiv.org/abs/1506.07365.
    • (2015) CoRR
    • Watter, M.1    Springenberg, J.T.2    Boedecker, J.3    Riedmiller, M.A.4
  • 29
    • 33845288662 scopus 로고    scopus 로고
    • Video object tracking using adaptive kalman filter
    • Weng, Shiuh-Ku, Kuo, Chung-Ming, and Tu, Shu-Kang. Video object tracking using adaptive kalman filter. J. Vis. Comun. Image Represent., 17(6):1190–1208, 2006. ISSN 1047-3203. doi: 10.1016/j.jvcir.2006.03.004. URL http://dx.doi.org/10.1016/j.jvcir.2006.03.004.
    • (2006) J. Vis. Comun. Image Represent. , vol.17 , Issue.6 , pp. 1190-1208
    • Weng, S.-K.1    Kuo, C.-M.2    Tu, S.-K.3
  • 31
    • 84965122247 scopus 로고    scopus 로고
    • Galileo: Perceiving physical object properties by integrating a physics engine with deep learning
    • Cortes, C., Lawrence, Lee, D.D., Sugiyama, M., Garnett, R., and Garnett, R. (eds), Curran Associates, Inc
    • Wu, Jiajun, Yildirim, Ilker, Lim, Joseph J, Freeman, Bill, and Tenenbaum, Josh. Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. In Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R., and Garnett, R. (eds.), Advances in Neural Information Processing Systems 28, pp. 127–135. Curran Associates, Inc., 2015. URL http://papers.nips.cc/paper/5780-galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine pdf.
    • (2015) Advances in Neural Information Processing Systems , vol.28 , pp. 127-135
    • Wu, J.1    Yildirim, I.2    Lim, J.J.3    Freeman, B.4    Tenenbaum, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.