DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets

4 March 2020

Papers citing "DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets"

24 / 24 papers shown

Title
Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks Joshua Peter Ebenezer Bijaylaxmi Das Sudipta Mukhopadhyay GAN 24 18 0 01 Mar 2019
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning Kamyar Nazeri Eric Ng Tony Joseph F. Qureshi Mehran Ebrahimi GAN 61 684 0 01 Jan 2019
Macro action selection with deep reinforcement learning in StarCraft Sijia Xu Hongyu Kuang Zhi Zhuang Renjie Hu Yang Liu Huyang Sun 55 27 0 02 Dec 2018
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger Gabriel Synnaeve Zeming Lin Jonas Gehring Daniel Gant Vegard Mella Vasil Khalidov Nicolas Carion Nicolas Usunier 41 25 0 30 Nov 2018
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders Hyungu Kahng Yonghyun Jung Y. Cho Gonie Ahn Youngjoon Park ... Iljoo Yoon HyunJae Lee Daehun Jun Changhyeon Bae S. Kim 34 1 0 30 Nov 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 125 1,768 0 05 Dec 2017
STARDATA: A StarCraft AI Research Dataset Zeming Lin Jonas Gehring Vasil Khalidov Gabriel Synnaeve 28 40 0 07 Aug 2017
Learning Macromanagement in StarCraft from Replays using Deep Learning Niels Justesen S. Risi 61 68 0 12 Jul 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 175 9,533 0 31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 100 1,153 0 31 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 163 4,825 0 26 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 311 19,612 0 21 Nov 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 133 1,114 0 11 Sep 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 409 18,334 0 27 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,287 0 25 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.6K 76,917 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 421 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 242 10,394 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 418 16,944 0 20 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 114 12,201 0 19 Dec 2013