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1606.03476
Cited By
Generative Adversarial Imitation Learning
10 June 2016
Jonathan Ho
Stefano Ermon
GAN
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Papers citing
"Generative Adversarial Imitation Learning"
50 / 1,809 papers shown
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Eric Xing
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Rishabh Singh
145
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Thomas Dean
Maurice Chiang
Marcus Gomez
Nate Gruver
Yousef Hindy
...
S. Sanchez
Rohun Saxena
Michael Smith
Lucy Wang
Catherine Wong
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Learning Existing Social Conventions via Observationally Augmented Self-Play
Adam Lerer
A. Peysakhovich
OffRL
224
2
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26 Jun 2018
Towards a Better Understanding and Regularization of GAN Training Dynamics
Weili Nie
Ankit B. Patel
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AI4CE
169
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24 Jun 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
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Prashant Doshi
OffRL
368
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18 Jun 2018
Maximum a Posteriori Policy Optimisation
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Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
205
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14 Jun 2018
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau
Felix Hill
Jan Leike
Edward Hughes
Seyedarian Hosseini
Pushmeet Kohli
Edward Grefenstette
535
166
0
05 Jun 2018
Internal Model from Observations for Reward Shaping
Daiki Kimura
Subhajit Chaudhury
Ryuki Tachibana
Sakyasingha Dasgupta
222
22
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02 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
318
67
0
31 May 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Shani Gamrian
Yoav Goldberg
326
120
0
31 May 2018
Adversarial Learning of Task-Oriented Neural Dialog Models
Bing-Quan Liu
Ian Lane
OffRL
142
40
0
30 May 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu
Avi Singh
Dibya Ghosh
Larry Yang
Sergey Levine
BDL
334
130
0
29 May 2018
Playing hard exploration games by watching YouTube
Y. Aytar
Tobias Pfaff
David Budden
T. Paine
Ziyun Wang
Nando de Freitas
229
280
0
29 May 2018
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
168
75
0
25 May 2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi
Yang Yu
Qing Da
Shi-Yong Chen
Anxiang Zeng
OffRL
247
205
0
25 May 2018
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
Daniel J. McDuff
Ashish Kapoor
OOD
138
8
0
25 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning
Adam Gleave
Oliver Habryka
257
41
0
22 May 2018
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Yichen Wang
Le Song
H. Zha
136
1
0
22 May 2018
Maximum Causal Tsallis Entropy Imitation Learning
Kyungjae Lee
Sungjoon Choi
Songhwai Oh
OOD
340
20
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22 May 2018
Imitating Latent Policies from Observation
Ashley D. Edwards
Himanshu Sahni
Yannick Schroecker
Charles Isbell
304
158
0
21 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
Mark Pfeiffer
Samarth Shukla
M. Turchetta
Cesar Cadena
Andreas Krause
Roland Siegwart
Juan I. Nieto
168
175
0
18 May 2018
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay
Thang To
Artem Molchanov
Stephen Tyree
Jan Kautz
Stan Birchfield
249
39
0
18 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
Tharindu Fernando
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
GAN
149
26
0
13 May 2018
Task Transfer by Preference-Based Cost Learning
Chi-Hung Hsu
Shu-Huan Chang
Da-Cheng Juan
Yu-Ting Chen
Shih-Chieh Chang
222
56
0
12 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
Amir Yazdanbakhsh
Hajar Falahati
Philip J. Wolfe
K. Samadi
Nam Sung Kim
H. Esmaeilzadeh
173
80
0
10 May 2018
Behavioral Cloning from Observation
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Garrett A. Warnell
Peter Stone
OffRL
450
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04 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
425
765
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02 May 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Eric Wang
Wenhu Chen
Yuan-fang Wang
William Yang Wang
226
164
0
24 Apr 2018
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
264
318
0
23 Apr 2018
Event Extraction with Generative Adversarial Imitation Learning
Tongtao Zhang
Heng Ji
GAN
OffRL
92
19
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21 Apr 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
226
10
0
19 Apr 2018
Neural Kinematic Networks for Unsupervised Motion Retargetting
Ruben Villegas
Jimei Yang
Duygu Ceylan
Honglak Lee
GAN
263
242
0
16 Apr 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
471
559
0
08 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin
Tejas D. Kulkarni
Igor Babuschkin
A. Eslami
Oriol Vinyals
GAN
214
237
0
03 Apr 2018
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
189
146
0
02 Apr 2018
Unsupervised Correlation Analysis
Yedid Hoshen
Lior Wolf
128
8
0
01 Apr 2018
Visual Robot Task Planning
Chris Paxton
Yotam Barnoy
Kapil D. Katyal
R. Arora
Gregory Hager
215
57
0
30 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
618
98
0
20 Mar 2018
Neural Text Generation: Past, Present and Beyond
Sidi Lu
Yaoming Zhu
Weinan Zhang
Jun Wang
Yong Yu
130
72
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15 Mar 2018
Active Reinforcement Learning with Monte-Carlo Tree Search
Sebastian Schulze
Owain Evans
230
20
0
13 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
IEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
376
1,430
0
12 Mar 2018
OIL: Observational Imitation Learning
Ge Li
Matthias Muller
Vincent Casser
Neil G. Smith
D. L. Michels
Guohao Li
271
45
0
03 Mar 2018
Multi-Agent Imitation Learning for Driving Simulation
Raunak P. Bhattacharyya
Derek J. Phillips
Blake Wulfe
Jeremy Morton
Alex Kuefler
Mykel J. Kochenderfer
246
129
0
02 Mar 2018
Hierarchical Imitation and Reinforcement Learning
International Conference on Machine Learning (ICML), 2018
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
231
207
0
01 Mar 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu
Ziyun Wang
J. Merel
Andrei A. Rusu
Tom Erez
...
S. Tunyasuvunakool
János Kramár
R. Hadsell
Nando de Freitas
N. Heess
SSL
379
335
0
26 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Emmy Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Abigail Z. Jacobs
OnRL
217
281
0
24 Feb 2018
Machine Theory of Mind
Neil C. Rabinowitz
Frank Perbet
H. F. Song
Chiyuan Zhang
S. M. Ali Eslami
M. Botvinick
AI4CE
404
546
0
21 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Nick Haber
Damian Mrowca
Li Fei-Fei
Daniel L. K. Yamins
LRM
195
122
0
21 Feb 2018
Learning Data-Driven Objectives to Optimize Interactive Systems
Ziming Li
Julia Kiseleva
Alekh Agarwal
Maarten de Rijke
264
1
0
17 Feb 2018
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