Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs

17 August 2020

Papers citing "Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs"

24 / 24 papers shown

Title
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design Amin Heyrani Nobari Wei Chen Faez Ahmed 27 48 0 07 Jun 2021
Learning Skeletal Articulations with Neural Blend Shapes Peizhuo Li Kfir Aberman Rana Hanocka Libin Liu O. Sorkine-Hornung Baoquan Chen 3DH 66 70 0 06 May 2021
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel Soyoung Yoo Sunghee Lee Seongsin Kim Kwang Hyeon Hwang Jong Ho Park Namwoo Kang AI4CE 26 107 0 25 May 2020
Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning Wenqi Wei Ling Liu J. Rho 23 52 0 28 Oct 2019
Neural reparameterization improves structural optimization Stephan Hoyer Jascha Narain Sohl-Dickstein S. Greydanus AI4CE 51 67 0 10 Sep 2019
A deep Convolutional Neural Network for topology optimization with strong generalization ability Yiquan Zhang Bo Peng Xiaoyi Zhou Airong Chen Dalei Wang 29 65 0 23 Jan 2019
Reinforcement Learning for Improving Agent Design David R Ha 77 125 0 09 Oct 2018
3D Topology Optimization using Convolutional Neural Networks Saurabh Banga Harsh Gehani Sanket Bhilare Sagar Patel Levent Burak Kara 39 106 0 22 Aug 2018
Deep learning for determining a near-optimal topological design without any iteration Yonggyun Yu Taeil Hur Jaeho Jung I. Jang 3DV 40 291 0 13 Jan 2018
Neural networks for topology optimization Ivan Sosnovik Ivan Oseledets 43 254 0 27 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 245 18,685 0 20 Jul 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 189 18,136 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 365 37,704 0 20 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 306 14,196 0 23 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 168 8,805 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.5K 192,638 0 10 Dec 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 134 7,590 0 22 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 45 3,368 0 08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.3K 76,547 0 18 May 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 247 6,722 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 988 149,474 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 299 20,491 0 10 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 376 16,962 0 20 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 103 12,163 0 19 Dec 2013