Generative Adversarial Imitation Learning

10 June 2016

Papers citing "Generative Adversarial Imitation Learning"

50 / 1,680 papers shown

Title
Learning Sensory-Motor Associations from Demonstration V. Berenz A. Bjelic Lahiru Herath Jim Mainprice 9 0 0 04 Mar 2019
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods Maher Nouiehed Maziar Sanjabi Tianjian Huang Jason D. Lee Meisam Razaviyayn 53 339 0 21 Feb 2019
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following Justin Fu Anoop Korattikara Balan Sergey Levine S. Guadarrama OffRL LM&Ro 35 123 0 20 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 56 96 0 19 Feb 2019
Sufficiently Accurate Model Learning Clark Zhang Arbaaz Khan Santiago Paternain Alejandro Ribeiro 31 3 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 27 32 0 18 Feb 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation Jonas Löhdefink Andreas Bär Nico M. Schmidt Fabian Hüger Peter Schlicht Tim Fingscheidt 34 15 0 12 Feb 2019
Preferences Implicit in the State of the World Rohin Shah Dmitrii Krasheninnikov Jordan Alexander Pieter Abbeel Anca Dragan 29 55 0 12 Feb 2019
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning Jianwen Xie Zilong Zheng Xiaolin Fang Song-Chun Zhu Ying Nian Wu 28 4 0 07 Feb 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs Himanshu Sahni Toby Buckley Pieter Abbeel Ilya Kuzovkin 35 10 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 31 364 0 30 Jan 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation Yukai Liu Rose Yu Stephan Zheng Eric Zhan Yisong Yue BDL AI4TS 19 114 0 30 Jan 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning Casey Chu Jose H. Blanchet Peter Glynn GAN 24 26 0 30 Jan 2019
Imitation Learning from Imperfect Demonstration Yueh-hua Wu Nontawat Charoenphakdee Han Bao Voot Tangkaratt Masashi Sugiyama 13 157 0 27 Jan 2019
Towards Learning to Imitate from a Single Video Demonstration Glen Berseth Florian Golemo C. Pal 29 6 0 22 Jan 2019
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes GAN 17 34 0 16 Jan 2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator Qi Cai Mingyi Hong Yongxin Chen Zhaoran Wang 63 34 0 11 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 26 74 0 06 Jan 2019
On Computation and Generalization of GANs with Spectrum Control Haoming Jiang Zhehui Chen Minshuo Chen Feng Liu Dingding Wang T. Zhao 22 6 0 28 Dec 2018
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi Le Song 22 207 0 27 Dec 2018
Improving MMD-GAN Training with Repulsive Loss Function Wei Wang Yuan Sun Saman K. Halgamuge GAN 27 79 0 24 Dec 2018
Efficient Model-Free Reinforcement Learning Using Gaussian Process Ying Fan Letian Chen Yizhou Wang GP 31 6 0 11 Dec 2018
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning Ziming Li Julia Kiseleva Maarten de Rijke 25 51 0 09 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 48 1,586 0 07 Dec 2018
On the stability analysis of deep neural network representations of an optimal state-feedback Dario Izzo Dharmesh Tailor T. Vasileiou 42 25 0 06 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration Peixi Peng Junliang Xing 28 0 0 05 Dec 2018
Generative Adversarial Self-Imitation Learning Yijie Guo Junhyuk Oh Satinder Singh Honglak Lee GAN 31 58 0 03 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 90 1,239 0 30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 52 176 0 28 Nov 2018
Connecting the Dots Between MLE and RL for Sequence Prediction Bowen Tan Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing 42 24 0 24 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 54 402 0 19 Nov 2018
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models A. Tanwani Jonathan Lee Brijen Thananjeyan Michael Laskey S. Krishnan Roy Fox Ken Goldberg Sylvain Calinon SSL 32 16 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 55 831 0 16 Nov 2018
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 33 388 0 15 Nov 2018
Learning Temporal Point Processes via Reinforcement Learning Shuang Li Shuai Xiao Shixiang Zhu Nan Du Yao Xie Le Song AI4TS 26 105 0 12 Nov 2018
Learning from Demonstration in the Wild Bertrand Higy K. Shiarlis Xi Chen Vitaly Kurin Sudhanshu Kasewa ... João Gomes Supratik Paul F. Oliehoek João Messias Shimon Whiteson 30 76 0 08 Nov 2018
Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao Hongyu Ren Arianna Yuan Jiaming Song Noah D. Goodman Stefano Ermon AI4CE 23 138 0 08 Nov 2018
Behavioural Repertoire via Generative Adversarial Policy Networks Marija Jegorova Stéphane Doncieux Timothy M. Hospedales 17 0 0 07 Nov 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation Mehdi Letafati Yuke Zhu Animesh Garg Jonathan Booher Max Spero ... John Emmons Anchit Gupta Emre Orbay Silvio Savarese Li Fei-Fei OffRL 48 288 0 07 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation Matthew O'Kelly Aman Sinha Hongseok Namkoong John C. Duchi Russ Tedrake 14 215 0 31 Oct 2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories Yanfu Zhang Wenshan Wang Rogerio Bonatti Daniel Maturana Sebastian Scherer 21 42 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 33 144 0 15 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 20 500 0 12 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL T. Paine Sergio Gomez Colmenarejo Ziyun Wang Scott E. Reed Y. Aytar ... Matthew W. Hoffman Gabriel Barth-Maron Serkan Cabi David Budden Nando de Freitas OffRL 22 26 0 11 Oct 2018
Recurrent Transition Networks for Character Locomotion Félix G. Harvey C. Pal 39 90 0 04 Oct 2018
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation Dafni Antotsiou Guillermo Garcia-Hernando Tae-Kyun Kim 35 74 0 03 Oct 2018
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning Subhajit Chaudhury Daiki Kimura Asim Munawar Ryuki Tachibana GAN VGen 40 3 0 02 Oct 2018
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow Xue Bin Peng Angjoo Kanazawa Sam Toyer Pieter Abbeel Sergey Levine 33 214 0 01 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 40 71 0 30 Sep 2018