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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 / 1,808 papers shown
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Yu-ting Huang
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Adrian Weller
Volkan Cevher
336
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0
02 Jul 2020
Policy Improvement via Imitation of Multiple Oracles
Ching-An Cheng
Andrey Kolobov
Alekh Agarwal
143
6
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Adaptive Procedural Task Generation for Hard-Exploration Problems
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Yuke Zhu
Silvio Savarese
Li Fei-Fei
318
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Trevor Ablett
Filip Marić
Jonathan Kelly
OffRL
228
7
0
01 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
256
70
0
01 Jul 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson
J. A. G. Higuera
Stefan Wapnick
J. Tremblay
Florian Shkurti
David Meger
Gregory Dudek
167
57
0
29 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé
Pablo Strasser
Alexandros Kalousis
394
24
0
28 Jun 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
Xingrui Yu
Yueming Lyu
Ivor W. Tsang
194
63
0
26 Jun 2020
AvE: Assistance via Empowerment
Yuqing Du
Stas Tiomkin
Emre Kıcıman
Daniel Polani
Pieter Abbeel
Anca Dragan
296
42
0
26 Jun 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
Neural Information Processing Systems (NeurIPS), 2020
Daniel Jarrett
Ioana Bica
M. Schaar
OffRL
206
70
0
25 Jun 2020
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ziwei Guan
Tengyu Xu
Yingbin Liang
214
17
0
24 Jun 2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Neural Information Processing Systems (NeurIPS), 2020
Paul Barde
Julien Roy
Wonseok Jeon
Joelle Pineau
C. Pal
Derek Nowrouzezahrai
226
28
0
23 Jun 2020
Experience Replay with Likelihood-free Importance Weights
Conference on Learning for Dynamics & Control (L4DC), 2020
Samarth Sinha
Jiaming Song
Animesh Garg
Stefano Ermon
OffRL
208
67
0
23 Jun 2020
Show me the Way: Intrinsic Motivation from Demonstrations
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Léonard Hussenot
Robert Dadashi
Matthieu Geist
Olivier Pietquin
236
9
0
23 Jun 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
225
21
0
20 Jun 2020
Optimizing Interactive Systems via Data-Driven Objectives
Ziming Li
Julia Kiseleva
A. Grotov
Maarten de Rijke
Harrie Oosterhuis
OffRL
140
3
0
19 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation
Dilip Arumugam
Debadeepta Dey
Alekh Agarwal
Asli Celikyilmaz
E. Nouri
W. Dolan
153
3
0
18 Jun 2020
Competitive Policy Optimization
Manish Prajapat
Kamyar Azizzadenesheli
Alexander Liniger
Yisong Yue
Anima Anandkumar
188
15
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18 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik
A. Staroverov
Ermek Aitygulov
Kirill Aksenov
Vasilii Davydov
Aleksandr I. Panov
OffRL
157
4
0
17 Jun 2020
Gradient Free Minimax Optimization: Variance Reduction and Faster Convergence
Tengyu Xu
Zhe Wang
Yingbin Liang
H. Vincent Poor
321
32
0
16 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
240
39
0
16 Jun 2020
Pessimism About Unknown Unknowns Inspires Conservatism
Michael K. Cohen
Marcus Hutter
176
16
0
15 Jun 2020
Provably Efficient Model-based Policy Adaptation
International Conference on Machine Learning (ICML), 2020
Yuda Song
Aditi Mavalankar
Wen Sun
Sicun Gao
TTA
OffRL
187
11
0
14 Jun 2020
Reinforcement Learning with Supervision from Noisy Demonstrations
Hai-Jian Ke
Sheng-Jun Huang
76
7
0
14 Jun 2020
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Neural Information Processing Systems (NeurIPS), 2020
Ye Yuan
Kris Kitani
340
86
0
12 Jun 2020
Human and Multi-Agent collaboration in a human-MARL teaming framework
N. Navidi
Francois Chabot
Sagar Kurandwad
Irv Lustigman
Vincent Robert
Gregory Szriftgiser
Andrea Schuch
112
2
0
12 Jun 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
418
204
0
12 Jun 2020
Self-Supervised Reinforcement Learning for Recommender Systems
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
SSL
OffRL
379
219
0
10 Jun 2020
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak P. Bhattacharyya
Blake Wulfe
Derek J. Phillips
Alex Kuefler
Jeremy Morton
Ransalu Senanayake
Mykel Kochenderfer
241
129
0
10 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit
Kangjie Chen
Shangwei Guo
Tianwei Zhang
Xiaofei Xie
Yang Liu
MLAU
MIACV
OffRL
312
51
0
09 Jun 2020
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
Matthieu Geist
Olivier Pietquin
328
142
0
08 Jun 2020
Dual Policy Distillation
Kwei-Herng Lai
Daochen Zha
Yuening Li
Helen Zhou
OffRL
184
50
0
07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning
Shuncheng He
Jianzhun Shao
Xiangyang Ji
163
9
0
07 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H. Danesh
Anurag Koul
Alan Fern
Saeed Khorram
193
23
0
06 Jun 2020
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent
Michael K. Cohen
Elliot Catt
Marcus Hutter
163
4
0
05 Jun 2020
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems
Mathematical programming (Math. Program.), 2020
Zi Xu
Hui-Li Zhang
Yang Xu
Guanghui Lan
532
116
0
03 Jun 2020
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
Computer Vision and Pattern Recognition (CVPR), 2020
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
DRL
220
23
0
02 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure
Sungho Choi
Seungyul Han
Woojun Kim
Y. Sung
231
2
0
02 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
296
235
0
01 Jun 2020
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
IEEE International Conference on Robotics and Automation (ICRA), 2020
A. Tanwani
P. Sermanet
Andy Yan
Raghav V. Anand
Mariano Phielipp
Ken Goldberg
SSL
156
39
0
31 May 2020
Variational Reward Estimator Bottleneck: Learning Robust Reward Estimator for Multi-Domain Task-Oriented Dialog
Jeiyoon Park
Chanhee Lee
Kuekyeng Kim
Heuiseok Lim
OffRL
128
0
0
31 May 2020
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Zhibo Yang
Lihan Huang
Yupei Chen
Zijun Wei
Seoyoung Ahn
G. Zelinsky
Dimitris Samaras
Minh Hoai
201
114
0
28 May 2020
Towards intervention-centric causal reasoning in learning agents
B. Lansdell
LRM
CML
106
0
0
26 May 2020
Learning visual servo policies via planner cloning
Ulrich Viereck
Kate Saenko
Robert Platt
OffRL
113
2
0
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Deep Reinforcement Learning for High Level Character Control
Caio Souza
Luiz Velho
AI4CE
185
0
0
20 May 2020
Learning natural locomotion behaviors for humanoid robots using human knowledge
Chuanyu Yang
Kai Yuan
Shuai Heng
Taku Komura
Zhibin Li
180
46
0
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Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Cong Fei
Sijin Yu
Yuzheng Zhuang
Zongzhang Zhang
Jianye Hao
Hongbo Zhang
Xuewu Ji
Wulong Liu
178
33
0
19 May 2020
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning
Alevizos Bastas
T. Kravaris
G. Vouros
120
11
0
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Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
324
282
0
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Guaranteeing Reproducibility in Deep Learning Competitions
Brandon Houghton
Stephanie Milani
Nicholay Topin
William H. Guss
Katja Hofmann
Diego Perez-Liebana
Manuela Veloso
Ruslan Salakhutdinov
OOD
198
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12 May 2020
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