Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1606.03476
Cited By
Generative Adversarial Imitation Learning
10 June 2016
Jonathan Ho
Stefano Ermon
GAN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Generative Adversarial Imitation Learning"
50 / 1,809 papers shown
Reward Shaping for Human Learning via Inverse Reinforcement Learning
Mark Rucker
L.T. Watson
M. Gerber
Laura E. Barnes
OffRL
148
2
0
25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization
International Conference on Machine Learning (ICML), 2020
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
216
65
0
24 Feb 2020
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
Wonseok Jeon
Paul Barde
Derek Nowrouzezahrai
Joelle Pineau
100
14
0
24 Feb 2020
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion
IEEE Robotics and Automation Letters (RA-L), 2020
Siddhant Gangapurwala
Alexander L. Mitchell
Ioannis Havoutis
158
61
0
22 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
International Conference on Machine Learning (ICML), 2020
Daniel S. Brown
Russell Coleman
R. Srinivasan
S. Niekum
BDL
408
110
0
21 Feb 2020
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
David Venuto
Jhelum Chakravorty
Léonard Boussioux
Junhao Wang
Gavin McCracken
Doina Precup
163
3
0
20 Feb 2020
Support-weighted Adversarial Imitation Learning
Ruohan Wang
C. Ciliberto
P. Amadori
Y. Demiris
163
4
0
20 Feb 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Peng Zhang
Jianye Hao
Weixun Wang
Hongyao Tang
Yi Ma
Yihai Duan
Yan Zheng
OffRL
OnRL
121
40
0
18 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker
Charles Isbell
OffRL
181
13
0
15 Feb 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning
Neural Information Processing Systems (NeurIPS), 2020
Hong Jun Jeon
S. Milli
Anca Dragan
354
194
0
12 Feb 2020
Machine Learning Approaches For Motor Learning: A Short Review
Baptiste Caramiaux
Jules Françoise
A. Liu
Téo Sanchez
Frédéric Bevilacqua
201
11
0
11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
International Conference on Machine Learning (ICML), 2020
Victor Campos
Alexander R. Trott
Caiming Xiong
R. Socher
Xavier Giró-i-Nieto
Jordi Torres
OffRL
483
168
0
10 Feb 2020
Learning Whole-body Motor Skills for Humanoids
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2018
Chuanyu Yang
Kai Yuan
W. Merkt
Taku Komura
S. Vijayakumar
Zhibin Li
178
41
0
07 Feb 2020
Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking
Autonomous Robots (Auton. Robots), 2020
Michael G. Burke
Katie Lu
Daniel Angelov
Artūras Straižys
Craig Innes
Kartic Subr
S. Ramamoorthy
206
12
0
04 Feb 2020
Elaborating on Learned Demonstrations with Temporal Logic Specifications
Craig Innes
S. Ramamoorthy
224
30
0
03 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
749
2,120
0
02 Feb 2020
Combating False Negatives in Adversarial Imitation Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Konrad Zolna
Chitwan Saharia
Léonard Boussioux
D. Y. Hui
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Yoshua Bengio
146
8
0
02 Feb 2020
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
Neurons, Behavior, Data analysis, and Theory (NBDT), 2020
G. Zelinsky
Yupei Chen
Seoyoung Ahn
Hossein Adeli
Zhibo Yang
Lihan Huang
D. Samaras
Minh Hoai
141
21
0
31 Jan 2020
Preventing Imitation Learning with Adversarial Policy Ensembles
Albert Zhan
Stas Tiomkin
Pieter Abbeel
231
4
0
31 Jan 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Ryogo Okumura
Masashi Okada
T. Taniguchi
193
12
0
31 Jan 2020
Active Task-Inference-Guided Deep Inverse Reinforcement Learning
IEEE Conference on Decision and Control (CDC), 2020
F. Memarian
Zhe Xu
Bo Wu
Min Wen
Ufuk Topcu
194
29
0
24 Jan 2020
A Probabilistic Framework for Imitating Human Race Driver Behavior
IEEE Robotics and Automation Letters (RA-L), 2020
Stefan Löckel
Jan Peters
Peter van Vliet
144
14
0
22 Jan 2020
Augmenting GAIL with BC for sample efficient imitation learning
Rohit Jena
Changliu Liu
Katia Sycara
235
5
0
21 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
316
1,032
0
20 Jan 2020
Discriminator Soft Actor Critic without Extrinsic Rewards
Global Conference on Consumer Electronics (GCE), 2020
Daichi Nishio
Daiki Kuyoshi
Toi Tsuneda
S. Yamane
OffRL
207
6
0
19 Jan 2020
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances
Shakiba Yaghoubi
Georgios Fainekos
S. Sankaranarayanan
196
43
0
18 Jan 2020
Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019
Wenhui Huang
Francesco Braghin
Zhuo Wang
51
13
0
12 Jan 2020
Towards GAN Benchmarks Which Require Generalization
International Conference on Learning Representations (ICLR), 2020
Ishaan Gulrajani
Colin Raffel
Luke Metz
220
63
0
10 Jan 2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Gonçalo Mordido
Haojin Yang
Christoph Meinel
99
24
0
10 Jan 2020
On Computation and Generalization of Generative Adversarial Imitation Learning
International Conference on Learning Representations (ICLR), 2020
Minshuo Chen
Yizhou Wang
Tianyi Liu
Zhuoran Yang
Xingguo Li
Zhaoran Wang
T. Zhao
279
41
0
09 Jan 2020
The Past and Present of Imitation Learning: A Citation Chain Study
Nishanth Kumar
56
1
0
08 Jan 2020
Reinforcement Learning via Fenchel-Rockafellar Duality
Ofir Nachum
Bo Dai
OffRL
382
133
0
07 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2020
Letian Chen
Rohan R. Paleja
Muyleng Ghuy
Matthew C. Gombolay
461
44
0
02 Jan 2020
A New Framework for Query Efficient Active Imitation Learning
Daniel J. Hsu
103
4
0
30 Dec 2019
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Neural Information Processing Systems (NeurIPS), 2019
Wanxin Jin
Zhaoran Wang
Zhuoran Yang
Shaoshuai Mou
482
113
0
30 Dec 2019
Hierarchical Variational Imitation Learning of Control Programs
Roy Fox
Richard Shin
William Paul
Yitian Zou
Basel Alomair
Ken Goldberg
Pieter Abbeel
Ion Stoica
BDL
117
5
0
29 Dec 2019
Artificial Intelligence in Surgery
Xiao-Yun Zhou
Yao Guo
Mali Shen
Guang-Zhong Yang
AI4CE
164
5
0
23 Dec 2019
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé
Yichuan Tang
Jian Zhang
Russ Webb
113
0
0
18 Dec 2019
Imitation Learning via Off-Policy Distribution Matching
International Conference on Learning Representations (ICLR), 2019
Ilya Kostrikov
Ofir Nachum
Jonathan Tompson
OOD
OffRL
371
228
0
10 Dec 2019
Deep Bayesian Reward Learning from Preferences
Daniel S. Brown
S. Niekum
BDL
184
37
0
10 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit order book
Jacobo Roa-Vicens
Yuanbo Wang
Virgile Mison
Y. Gal
Ricardo M. A. Silva
142
3
0
09 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
IEEE Robotics and Automation Letters (RA-L), 2019
Qiaoyun Wu
Kai Xu
Jun Wang
Mingliang Xu
Xiaoxi Gong
Tianyi Zhou
326
33
0
09 Dec 2019
Efficient Black-box Assessment of Autonomous Vehicle Safety
J. Norden
Matthew O'Kelly
Aman Sinha
238
71
0
08 Dec 2019
Learning Norms from Stories: A Prior for Value Aligned Agents
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
Spencer Frazier
Md Sultan al Nahian
Mark O. Riedl
Brent Harrison
153
41
0
07 Dec 2019
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
IEEE International Conference on Robotics and Automation (ICRA), 2019
Sascha Rosbach
Vinit James
S. Großjohann
S. Homoceanu
Xing Li
Stefan Roth
145
9
0
07 Dec 2019
Learning Human Objectives by Evaluating Hypothetical Behavior
International Conference on Machine Learning (ICML), 2019
S. Reddy
Anca Dragan
Sergey Levine
Shane Legg
Jan Leike
238
78
0
05 Dec 2019
Learning from Interventions using Hierarchical Policies for Safe Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Jing Bi
Vikas Dhiman
Tianyou Xiao
Chenliang Xu
OffRL
123
6
0
04 Dec 2019
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
Neural Information Processing Systems (NeurIPS), 2019
Samuel K. Ainsworth
Matt Barnes
S. Srinivasa
87
6
0
03 Dec 2019
Detecting GAN generated errors
Xiru Zhu
Fengdi Che
Tianzi Yang
Tzuyang Yu
David Meger
Gregory Dudek
121
2
0
02 Dec 2019
Automated curriculum generation for Policy Gradients from Demonstrations
A. Srinivasan
Dzmitry Bahdanau
Maxime Chevalier-Boisvert
Yoshua Bengio
131
2
0
01 Dec 2019
Previous
1
2
3
...
29
30
31
...
35
36
37
Next
Page 30 of 37
Page
of 37
Go
