Connecting Generative Adversarial Networks and Actor-Critic Methods

6 October 2016

Papers citing "Connecting Generative Adversarial Networks and Actor-Critic Methods"

40 / 40 papers shown

Title
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 19 8 0 07 Nov 2022
Subverting machines, fluctuating identities: Re-learning human categorization Christina T. Lu Jackie Kay Kevin R. McKee 17 19 0 27 May 2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 29 4 0 20 May 2022
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies Mohamed Alami Chehboune F. Llorente Rim Kaddah Luca Martino Jesse Read 16 0 0 19 May 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 18 48 0 25 Feb 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 16 15 0 15 Feb 2022
Stochastic Extragradient: General Analysis and Improved Rates Eduard A. Gorbunov Hugo Berard Gauthier Gidel Nicolas Loizou 14 40 0 16 Nov 2021
Value-Function-based Sequential Minimization for Bi-level Optimization Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 32 30 0 11 Oct 2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning Ning Wei Jiahua Liang Di Xie Shiliang Pu 17 0 0 06 Sep 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 13 79 0 15 Jun 2021
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey Jinjie Ni Tom Young Vlad Pandelea Fuzhao Xue Erik Cambria 54 267 0 10 May 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation Hojjat Navidan P. Moshiri M. Nabati Reza Shahbazian S. Ghorashi V. Shah-Mansouri David Windridge 13 83 0 10 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 21 258 0 05 May 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 45 221 0 27 Jan 2021
Stochastic Hamiltonian Gradient Methods for Smooth Games Nicolas Loizou Hugo Berard Alexia Jolicoeur-Martineau Pascal Vincent Simon Lacoste-Julien Ioannis Mitliagkas 25 50 0 08 Jul 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 22 83 0 18 May 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 31 20 0 29 Mar 2020
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function M. Kawanaka Yuma Koizumi Ryoichi Miyazaki Kohei Yatabe AAML 6 22 0 14 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 15 128 0 05 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian Damien Scieur Ioannis Mitliagkas Simon Lacoste-Julien Gauthier Gidel 33 48 0 02 Jan 2020
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 16 379 0 27 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 22 83 0 30 Sep 2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost Zhuoran Yang Yongxin Chen Mingyi Hong Zhaoran Wang 24 39 0 14 Jul 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 11 36 0 26 May 2019
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning P. Stinis AI4TS AI4CE 18 11 0 17 May 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 29 79 0 13 May 2019
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction Maximilian Seitzer Guang Yang Jo Schlemper Ozan Oktay Tobias Würfl ... R. Mohiaddin D. Firmin J. Keegan Daniel Rueckert Andreas K. Maier MedIm 27 102 0 28 Jun 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng-Long Jiang Yiyu Shi 33 4 0 26 Feb 2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang J. Stokes 27 211 0 16 Feb 2018
The Mechanics of n-Player Differentiable Games David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel MLT 16 273 0 15 Feb 2018
SGAN: An Alternative Training of Generative Adversarial Networks Tatjana Chavdarova F. Fleuret GAN 20 57 0 06 Dec 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 25 29 0 28 Oct 2017
Efficient Regret Minimization in Non-Convex Games Elad Hazan Karan Singh Cyril Zhang 15 94 0 31 Jul 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric P. Xing DRL GAN 32 126 0 02 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 22 147 0 30 May 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 26 455 0 30 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Generative Adversarial Parallelization Daniel Jiwoong Im He Ma C. Kim Graham W. Taylor GAN 22 38 0 13 Dec 2016
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 11 350 0 11 Nov 2016