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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
Efficient Model-Free Reinforcement Learning Using Gaussian Process
Efficient Model-Free Reinforcement Learning Using Gaussian Process
Ying Fan
Letian Chen
Yizhou Wang
GP
137
7
0
11 Dec 2018
Dialogue Generation: From Imitation Learning to Inverse Reinforcement
  Learning
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li
Julia Kiseleva
Maarten de Rijke
99
55
0
09 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
821
1,874
0
07 Dec 2018
On the stability analysis of deep neural network representations of an
  optimal state-feedback
On the stability analysis of deep neural network representations of an optimal state-feedback
Dario Izzo
Dharmesh Tailor
T. Vasileiou
156
31
0
06 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration
Peixi Peng
Junliang Xing
129
0
0
05 Dec 2018
Generative Adversarial Self-Imitation Learning
Generative Adversarial Self-Imitation Learning
Yijie Guo
Junhyuk Oh
Satinder Singh
Honglak Lee
GAN
185
60
0
03 Dec 2018
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRLAI4CE
414
1,414
0
30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRLOffRLSSL
244
187
0
28 Nov 2018
Connecting the Dots Between MLE and RL for Sequence Prediction
Connecting the Dots Between MLE and RL for Sequence Prediction
Bowen Tan
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
248
24
0
24 Nov 2018
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
379
527
0
19 Nov 2018
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov
  Models
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov ModelsWorkshop on the Algorithmic Foundations of Robotics (WAFR), 2018
A. Tanwani
Jonathan Lee
Brijen Thananjeyan
Michael Laskey
S. Krishnan
Roy Fox
Ken Goldberg
Sylvain Calinon
SSL
257
17
0
19 Nov 2018
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
358
940
0
16 Nov 2018
Reward learning from human preferences and demonstrations in Atari
Reward learning from human preferences and demonstrations in AtariNeural Information Processing Systems (NeurIPS), 2018
Borja Ibarz
Jan Leike
Tobias Pohlen
G. Irving
Shane Legg
Dario Amodei
342
446
0
15 Nov 2018
Learning Temporal Point Processes via Reinforcement Learning
Learning Temporal Point Processes via Reinforcement Learning
Shuang Li
Shuai Xiao
Shixiang Zhu
Nan Du
Yao Xie
Le Song
AI4TS
244
114
0
12 Nov 2018
Learning from Demonstration in the Wild
Learning from Demonstration in the WildIEEE International Conference on Robotics and Automation (ICRA), 2018
Bertrand Higy
K. Shiarlis
Xi Chen
Vitaly Kurin
Sudhanshu Kasewa
...
João Gomes
Supratik Paul
F. Oliehoek
João Messias
Shimon Whiteson
217
78
0
08 Nov 2018
Bias and Generalization in Deep Generative Models: An Empirical Study
Bias and Generalization in Deep Generative Models: An Empirical StudyNeural Information Processing Systems (NeurIPS), 2018
Shengjia Zhao
Hongyu Ren
Arianna Yuan
Jiaming Song
Noah D. Goodman
Stefano Ermon
AI4CE
220
148
0
08 Nov 2018
Behavioural Repertoire via Generative Adversarial Policy Networks
Behavioural Repertoire via Generative Adversarial Policy Networks
Marija Jegorova
Stéphane Doncieux
Timothy M. Hospedales
117
1
0
07 Nov 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through
  Imitation
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through ImitationConference on Robot Learning (CoRL), 2018
Mehdi Letafati
Yuke Zhu
Animesh Garg
Jonathan Booher
Max Spero
...
John Emmons
Anchit Gupta
Emre Orbay
Silvio Savarese
Li Fei-Fei
OffRL
318
348
0
07 Nov 2018
Learning to Defend by Learning to Attack
Learning to Defend by Learning to Attack
Haoming Jiang
Zhehui Chen
Yuyang Shi
Bo Dai
T. Zhao
267
23
0
03 Nov 2018
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly
Aman Sinha
Hongseok Namkoong
John C. Duchi
Russ Tedrake
398
234
0
31 Oct 2018
Integrating kinematics and environment context into deep inverse
  reinforcement learning for predicting off-road vehicle trajectories
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
109
46
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
371
143
0
15 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with
  Real World Experience
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar
Ankur Handa
Viktor Makoviychuk
Lukasz Wawrzyniak
J. Issac
Nathan D. Ratliff
Dieter Fox
523
565
0
12 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
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
161
26
0
11 Oct 2018
Recurrent Transition Networks for Character Locomotion
Recurrent Transition Networks for Character Locomotion
Félix G. Harvey
C. Pal
266
98
0
04 Oct 2018
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation
  Imitation
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
Dafni Antotsiou
Guillermo Garcia-Hernando
Tae-Kyun Kim
231
82
0
03 Oct 2018
Injective State-Image Mapping facilitates Visual Adversarial Imitation
  Learning
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning
Subhajit Chaudhury
Daiki Kimura
Asim Munawar
Ryuki Tachibana
GANVGen
138
3
0
02 Oct 2018
Variational Discriminator Bottleneck: Improving Imitation Learning,
  Inverse RL, and GANs by Constraining Information Flow
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
265
232
0
01 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
OffRL
219
72
0
30 Sep 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented
  Demonstrations using Directed Information
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Arjun Sharma
Mohit Sharma
Nicholas Rhinehart
Kris Kitani
175
74
0
29 Sep 2018
Robot eye-hand coordination learning by watching human demonstrations: a
  task function approximation approach
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach
Jun Jin
Laura Petrich
Masood Dehghan
Zichen Zhang
Martin Jägersand
162
14
0
29 Sep 2018
Auto-conditioned Recurrent Mixture Density Networks for Learning
  Generalizable Robot Skills
Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills
Hejia Zhang
Eric Heiden
Stefanos Nikolaidis
Joseph J. Lim
Gaurav Sukhatme
407
11
0
29 Sep 2018
Using Deep Reinforcement Learning to Learn High-Level Policies on the
  ATRIAS Biped
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS BipedIEEE International Conference on Robotics and Automation (ICRA), 2018
Tianyu Li
Akshara Rai
H. Geyer
C. Atkeson
184
57
0
28 Sep 2018
Incremental Adversarial Learning for Optimal Path Planning
Incremental Adversarial Learning for Optimal Path Planning
Salvatore Virga
Christian Rupprecht
Nassir Navab
C. Hennersperger
GAN
80
1
0
25 Sep 2018
Constrained Exploration and Recovery from Experience Shaping
Constrained Exploration and Recovery from Experience Shaping
Tu-Hoa Pham
Giovanni De Magistris
Don Joven Agravante
Subhajit Chaudhury
Asim Munawar
Ryuki Tachibana
134
3
0
21 Sep 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning
Adversarial Imitation via Variational Inverse Reinforcement Learning
A. H. Qureshi
Byron Boots
Michael C. Yip
318
64
0
17 Sep 2018
Inspiration Learning through Preferences
Inspiration Learning through Preferences
Nir Baram
Shie Mannor
90
1
0
16 Sep 2018
Automatic Program Synthesis of Long Programs with a Learned Garbage
  Collector
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar
Lior Wolf
323
78
0
12 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
Isac Arnekvist
Danica Kragic
J. A. Stork
OffRL
125
38
0
10 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
294
282
0
09 Sep 2018
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
449
909
0
07 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Lionel Blondé
Alexandros Kalousis
GAN
188
52
0
06 Sep 2018
Cost Functions for Robot Motion Style
Cost Functions for Robot Motion Style
Allan Zhou
Anca Dragan
117
21
0
01 Sep 2018
Defining the problem of Observation Learning
Defining the problem of Observation Learning
Leo Pauly
102
5
0
24 Aug 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From
  Demonstrations
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
Michael Schaarschmidt
A. Kuhnle
Ben Ellis
Kai Fricke
Felix Gessert
Eiko Yoneki
OffRL
113
41
0
23 Aug 2018
Risk-Sensitive Generative Adversarial Imitation Learning
Risk-Sensitive Generative Adversarial Imitation Learning
Jonathan Lacotte
Mohammad Ghavamzadeh
Yinlam Chow
Marco Pavone
GAN
179
27
0
13 Aug 2018
Global Convergence to the Equilibrium of GANs using Variational
  Inequalities
Global Convergence to the Equilibrium of GANs using Variational Inequalities
I. Gemp
Sridhar Mahadevan
262
52
0
04 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
206
249
0
26 Jul 2018
Backplay: "Man muss immer umkehren"
Backplay: "Man muss immer umkehren"
Cinjon Resnick
R. Raileanu
Sanyam Kapoor
Alex Peysakhovich
Dong Wang
Joan Bruna
OffRL
318
49
0
18 Jul 2018
Generative Adversarial Imitation from Observation
Generative Adversarial Imitation from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
GAN
415
271
0
17 Jul 2018
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