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Generative Adversarial Imitation Learning

Generative Adversarial Imitation Learning

10 June 2016
Jonathan Ho
Stefano Ermon
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Imitation Learning"

50 / 1,809 papers shown
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
513
4,791
0
16 Feb 2018
Reinforcement Learning from Imperfect Demonstrations
Reinforcement Learning from Imperfect Demonstrations
Yang Gao
Huazhe Xu
Ji Lin
Feng Yu
Sergey Levine
Trevor Darrell
268
210
0
14 Feb 2018
Geometry Score: A Method For Comparing Generative Adversarial Networks
Geometry Score: A Method For Comparing Generative Adversarial Networks
Valentin Khrulkov
Ivan Oseledets
GANMLT
192
132
0
07 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With
  Expert Demonstrations
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations
Xiaoqin Zhang
Huimin Ma
OffRL
328
39
0
31 Jan 2018
Classification of sparsely labeled spatio-temporal data through
  semi-supervised adversarial learning
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
Atanas Mirchev
Seyed-Ahmad Ahmadi
GAN
173
3
0
26 Jan 2018
Understanding Human Behaviors in Crowds by Imitating the Decision-Making
  Process
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process
Haosheng Zou
Hang Su
Shihong Song
Jun Zhu
135
49
0
25 Jan 2018
Global overview of Imitation Learning
Global overview of Imitation Learning
Alexandre Attia
Sharone Dayan
166
78
0
19 Jan 2018
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal
  Demonstrations
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
Xingyu Wang
Diego Klabjan
118
44
0
07 Jan 2018
Multimodal Storytelling via Generative Adversarial Imitation Learning
Multimodal Storytelling via Generative Adversarial Imitation Learning
Zhiqian Chen
Xuchao Zhang
Arnold P. Boedihardjo
Jing Dai
Chang-Tien Lu
167
13
0
05 Dec 2017
Deterministic Policy Optimization by Combining Pathwise and Score
  Function Estimators for Discrete Action Spaces
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces
Daniel Levy
Stefano Ermon
111
4
0
21 Nov 2017
Transferring Agent Behaviors from Videos via Motion GANs
Transferring Agent Behaviors from Videos via Motion GANs
Ashley D. Edwards
Charles Isbell
VGenGAN
88
0
0
21 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
559
174
0
16 Nov 2017
Learning to Imagine Manipulation Goals for Robot Task Planning
Learning to Imagine Manipulation Goals for Robot Task Planning
Chris Paxton
Kapil D. Katyal
Christian Rupprecht
R. Arora
Gregory Hager
SSL
91
1
0
08 Nov 2017
Paraphrase Generation with Deep Reinforcement Learning
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
Xin Jiang
Lifeng Shang
Hang Li
OffRL
387
223
0
01 Nov 2017
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Pichao Wang
W. Li
P. Ogunbona
Jun Wan
Sergio Escalera
3DH
223
368
0
31 Oct 2017
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue
  Policy Learning
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning
Baolin Peng
Xiujun Li
Jianfeng Gao
Jingjing Liu
Yun-Nung Chen
Kam-Fai Wong
175
73
0
31 Oct 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
424
815
0
30 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning
Burn-In Demonstrations for Multi-Modal Imitation Learning
Alex Kuefler
Mykel J. Kochenderfer
175
26
0
13 Oct 2017
Deep Imitation Learning for Complex Manipulation Tasks from Virtual
  Reality Teleoperation
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
Tianhao Zhang
Zoe McCarthy
Owen Jow
Dennis Lee
Xi Chen
Ken Goldberg
Pieter Abbeel
SSL
423
726
0
12 Oct 2017
Socially Compliant Navigation through Raw Depth Inputs with Generative
  Adversarial Imitation Learning
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
L. Tai
Jingwei Zhang
Ming-Yuan Liu
Wolfram Burgard
GAN
217
198
0
06 Oct 2017
OptionGAN: Learning Joint Reward-Policy Options using Generative
  Adversarial Inverse Reinforcement Learning
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson
Wei-Di Chang
Pierre-Luc Bacon
David Meger
Joelle Pineau
Doina Precup
GAN
152
76
0
20 Sep 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
403
2,830
0
19 Aug 2017
Visual Forecasting by Imitating Dynamics in Natural Sequences
Visual Forecasting by Imitating Dynamics in Natural Sequences
Kuo-Hao Zeng
Bokui (William) Shen
De-An Huang
Min Sun
Juan Carlos Niebles
AI4TS
130
61
0
19 Aug 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics
  Problems with Sparse Rewards
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
N. Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
OffRL
311
733
0
27 Jul 2017
Mutual Alignment Transfer Learning
Mutual Alignment Transfer Learning
Markus Wulfmeier
Ingmar Posner
Pieter Abbeel
282
63
0
25 Jul 2017
RAIL: Risk-Averse Imitation Learning
RAIL: Risk-Averse Imitation Learning
Anirban Santara
A. Naik
Balaraman Ravindran
Dipankar Das
Dheevatsa Mudigere
Sasikanth Avancha
Bharat Kaul
272
19
0
20 Jul 2017
Trial without Error: Towards Safe Reinforcement Learning via Human
  Intervention
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
William Saunders
Girish Sastry
Andreas Stuhlmuller
Owain Evans
OffRL
237
258
0
17 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
340
406
0
11 Jul 2017
Robust Imitation of Diverse Behaviors
Robust Imitation of Diverse Behaviors
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
251
215
0
10 Jul 2017
Learning human behaviors from motion capture by adversarial imitation
Learning human behaviors from motion capture by adversarial imitation
J. Merel
Yuval Tassa
TB Dhruva
S. Srinivasan
Jay Lemmon
Ziyun Wang
Greg Wayne
N. Heess
GAN
269
213
0
07 Jul 2017
Energy-Based Sequence GANs for Recommendation and Their Connection to
  Imitation Learning
Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning
Jaeyoon Yoo
Heonseok Ha
Jihun Yi
J. Jon Ryu
Chanju Kim
Jung-Woo Ha
Young-Han Kim
Sungroh Yoon
GAN
96
14
0
28 Jun 2017
Observational Learning by Reinforcement Learning
Observational Learning by Reinforcement Learning
Diana Borsa
Bilal Piot
Rémi Munos
Olivier Pietquin
OffRL
104
48
0
20 Jun 2017
AI-Powered Social Bots
AI-Powered Social Bots
Terrence Adams
72
18
0
16 Jun 2017
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferencesNeural Information Processing Systems (NeurIPS), 2017
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
1.6K
4,461
0
12 Jun 2017
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming
Shervin Javdani
H. Admoni
Stefania Pellegrinelli
S. Srinivasa
J. Andrew Bagnell
226
231
0
01 Jun 2017
The Atari Grand Challenge Dataset
The Atari Grand Challenge Dataset
Vitaly Kurin
Sebastian Nowozin
Katja Hofmann
Lucas Beyer
Bastian Leibe
OffRL
153
47
0
31 May 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial NetsNeural Information Processing Systems (NeurIPS), 2017
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
276
158
0
30 May 2017
Visual Semantic Planning using Deep Successor Representations
Visual Semantic Planning using Deep Successor Representations
Yuke Zhu
Daniel Gordon
Eric Kolve
Dieter Fox
Li Fei-Fei
Abhinav Gupta
Roozbeh Mottaghi
Ali Farhadi
202
143
0
23 May 2017
Simultaneous Policy Learning and Latent State Inference for Imitating
  Driver Behavior
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
Jeremy Morton
Mykel J. Kochenderfer
178
36
0
19 Apr 2017
Deep Q-learning from Demonstrations
Deep Q-learning from Demonstrations
Todd Hester
Matej Vecerík
Olivier Pietquin
Marc Lanctot
Tom Schaul
...
Gabriel Dulac-Arnold
Ian Osband
J. Agapiou
Joel Z Leibo
A. Gruslys
OffRL
388
158
0
12 Apr 2017
DART: Noise Injection for Robust Imitation Learning
DART: Noise Injection for Robust Imitation Learning
Michael Laskey
Jonathan Lee
Roy Fox
Anca Dragan
Ken Goldberg
399
287
0
27 Mar 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li
Jiaming Song
Stefano Ermon
160
44
0
26 Mar 2017
One-Shot Imitation Learning
One-Shot Imitation Learning
Yan Duan
Marcin Andrychowicz
Bradly C. Stadie
Jonathan Ho
Jonas Schneider
Ilya Sutskever
Pieter Abbeel
Wojciech Zaremba
OffRL
331
722
0
21 Mar 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
191
205
0
09 Mar 2017
Third-Person Imitation Learning
Third-Person Imitation Learning
Bradly C. Stadie
Pieter Abbeel
Ilya Sutskever
216
244
0
06 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential
  Prediction
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun
Arun Venkatraman
Geoffrey J. Gordon
Byron Boots
J. Andrew Bagnell
289
244
0
03 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
491
514
0
28 Feb 2017
A Goal-Based Movement Model for Continuous Multi-Agent Tasks
A Goal-Based Movement Model for Continuous Multi-Agent Tasks
Shariq Iqbal
John M. Pearson
72
1
0
23 Feb 2017
The Game Imitation: Deep Supervised Convolutional Networks for Quick
  Video Game AI
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI
Zhao Chen
Darvin Yi
VLMSSL
163
19
0
18 Feb 2017
Calibrating Energy-based Generative Adversarial Networks
Calibrating Energy-based Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2017
Zihang Dai
Amjad Almahairi
Philip Bachman
Eduard H. Hovy
Aaron Courville
GAN
157
111
0
06 Feb 2017
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