Fetching the paper…
Reading the bibliography…
Robotic learning in simulation environments provides a faster, more scalable, and safer training methodology than learning directly with physical robots.
V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller, “Playing Atari with Deep Reinforcement Learning,” NIPS Deep Learning Workshop, 2013
2013
Earlier work this paper cites.
D.P. Kingma and M. Welling, “Auto-Encoding Variational Bayes,” The International Conference on Learning Representations (ICLR), 2014
2014
Earlier work this paper cites.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. OzairA. Courville, and Y. Bengio, “Generative adversarial nets,” Advances in neural information processing systems (NIPS), 2014
2014
Earlier work this paper cites.
J. Schulman, S. Levine, P. Moritz, M. Jordan, and P. Abbeel, “Trust Region Policy Optimization,” International Conference on Machine Learning (ICML), 2015
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
S. Levine, P. Pastor, A. Krizhevsky, and D. Quillen, “Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection,” International Symposium on Experimental Robotics (ISER), 2016
2016
Earlier work this paper cites.
A. A. Rusu, M. Vecerik, T. Rothorl, N. Heess, R. Pascanu, and R. Hadsell, “Sim-to-Real Roboto Learning from Pixels with Progressive Nets,” arXiv 1610.04286, 2016
2016
Cited alongside, same era.
C. Finn, X. Y. Tan, Y. Duan, T. Darrell, S. Levine, P. Abbeel, “Deep Spatial Autoencoders for Visuomotor Learning,” International Conference on Robotics and Automation (ICRA), 2016
2016
Cited alongside, same era.
E. Santana and G. Hotz, “Learning a Driving Simulator,” arXiv:1608.01230, 2016
2016
Cited alongside, same era.
R. Rahmatizadeh, P. Abolghasemi, A. Behal, and L. Boloni, “Learning real manipulation tasks from virtual demonstrations using LSTM, ” arXiv 1603.03833, 2016
2016
Cited alongside, same era.
G. De Magistris, A. Munawar, and P. Vinayavekhin, “Teaching a Robot Pick and Place Task using Recurrent Neural Network,” Vision Engineering Workshop (ViEW), 2016
S. James, A. J. Davison, and E. Johns, “Transferring End-to-End Visiomotor Control from Simulation to Real World for a Multi-Stage Task,” 1st Annual Conference on Robot Learning (CoRL), 2017
2017
Closest in time.
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb, “Learning from Simulated and Unsupervised Images through Adversarial Training,” Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2017
Closest in time.
2017
Closest in time.
2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
I. Higgins, A. Pal, A. A. Rusu, L. Matthey, C. P. Burgess, A. Pritzel, M. Botvinick, C. Blundell, and A. Lerchner, “DARLA: Improving Zero-Shot Transfer in Reinforcement Learning,” International Conference on Machine Learning (ICML), 2017
2017
Cited alongside, same era.
Open Source Robotics Foundation, Gazebo simulator, “http://gazebosim.org”
Cited in the paper.
Microsoft Kinect for Xbox One, “http://www.xbox.com/en-US/xbox-one/accessories/kinect”
Cited in the paper.
2017
Closest in time.