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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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02 Jan 2021
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning
Autonomous Robots (Auton. Robots), 2021
Tianyu Wang
Vikas Dhiman
Nikolay Atanasov
143
11
0
01 Jan 2021
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Weiyan Shi
Yu Li
Saurav Sahay
Zhou Yu
OffRL
345
34
0
31 Dec 2020
Imitation Learning for High Precision Peg-in-Hole Tasks
S. Gubbi
Shishir Kolathaya
B. Amrutur
125
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26 Dec 2020
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
AAAI Conference on Artificial Intelligence (AAAI), 2020
Zelin Zhao
Chuang Gan
Jiajun Wu
Xiaoxiao Guo
J. Tenenbaum
OffRL
319
5
0
23 Dec 2020
Self-Imitation Advantage Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Johan Ferret
Olivier Pietquin
Matthieu Geist
243
21
0
22 Dec 2020
Social NCE: Contrastive Learning of Socially-aware Motion Representations
IEEE International Conference on Computer Vision (ICCV), 2020
Yuejiang Liu
Qi Yan
Alexandre Alahi
516
115
0
21 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Journal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
845
120
0
17 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
IEEE Access (IEEE Access), 2020
Georgios Th. Papadopoulos
M. Antona
C. Stephanidis
AI4CE
227
34
0
15 Dec 2020
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova
Konrad Zolna
Y. Aytar
Alexander Novikov
Scott E. Reed
Serkan Cabi
Nando de Freitas
SSL
OffRL
252
26
0
12 Dec 2020
Human-in-the-Loop Imitation Learning using Remote Teleoperation
Ajay Mandlekar
Danfei Xu
Roberto Martín-Martín
Yuke Zhu
Li Fei-Fei
Silvio Savarese
262
104
0
12 Dec 2020
Imitating Interactive Intelligence
Josh Abramson
Arun Ahuja
Iain Barr
Arthur Brussee
Federico Carnevale
...
Greg Wayne
Duncan Williams
Nathaniel Wong
Chen Yan
Rui Zhu
LM&Ro
252
73
0
10 Dec 2020
An overview of 11 proposals for building safe advanced AI
Evan Hubinger
AAML
160
27
0
04 Dec 2020
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
Alessandro Sestini
A. Kuhnle
Andrew D. Bagdanov
150
8
0
04 Dec 2020
DERAIL: Diagnostic Environments for Reward And Imitation Learning
Pedro Freire
Adam Gleave
Sam Toyer
Stuart J. Russell
OffRL
200
6
0
02 Dec 2020
General Characterization of Agents by States they Visit
Anssi Kanervisto
Tomi Kinnunen
Ville Hautamaki
183
3
0
02 Dec 2020
Refining Deep Generative Models via Discriminator Gradient Flow
International Conference on Learning Representations (ICLR), 2020
Abdul Fatir Ansari
Ming Liang Ang
Harold Soh
366
50
0
01 Dec 2020
UniCon: Universal Neural Controller For Physics-based Character Motion
Tingwu Wang
Yunrong Guo
Maria Shugrina
Sanja Fidler
175
65
0
30 Nov 2020
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
Hongseok Namkoong
Sam Daulton
E. Bakshy
OffRL
245
7
0
29 Nov 2020
Offline Learning from Demonstrations and Unlabeled Experience
Konrad Zolna
Alexander Novikov
Ksenia Konyushkova
Çağlar Gülçehre
Ziyun Wang
Y. Aytar
Misha Denil
Nando de Freitas
Scott E. Reed
SSL
OffRL
249
75
0
27 Nov 2020
Episodic Self-Imitation Learning with Hindsight
Tianhong Dai
Hengyan Liu
Anil Anthony Bharath
147
11
0
26 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Guangming Wang
Minjian Xin
Wenhua Wu
Yanfeng Guo
Hesheng Wang
OffRL
129
26
0
24 Nov 2020
Generative Adversarial Simulator
International Journal of Artificial Intelligence and Machine Learning (JAIML), 2020
Jonathan Raiman
GAN
56
0
0
23 Nov 2020
Learning Synthetic to Real Transfer for Localization and Navigational Tasks
Maxime Pietrantoni
Boris Chidlovskii
T. Silander
212
0
0
20 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Avi Singh
Huihan Liu
G. Zhou
Albert Yu
Nicholas Rhinehart
Sergey Levine
OffRL
OnRL
253
158
0
19 Nov 2020
Inverse Constrained Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Usman Anwar
Shehryar Malik
Alireza Aghasi
Ali Ahmed
399
67
0
19 Nov 2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination
Norman Di Palo
Edward Johns
227
8
0
18 Nov 2020
Inverse Reinforcement Learning via Matching of Optimality Profiles
Luis Haug
Ivan Ovinnikon
Eugene Bykovets
145
1
0
18 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval
J. Uesato
Ramana Kumar
Victoria Krakovna
Tom Everitt
Richard Ngo
Shane Legg
224
18
0
17 Nov 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2020
Sreejith Balakrishnan
Q. Nguyen
Bryan Kian Hsiang Low
Harold Soh
197
31
0
17 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
IEEE International Conference on Robotics and Automation (ICRA), 2020
Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
Masayoshi Tomizuka
S. Schaal
278
46
0
17 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning
Conference on Robot Learning (CoRL), 2020
Wenxuan Zhou
Sujay Bajracharya
David Held
OffRL
236
175
0
14 Nov 2020
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation
Sirui Xie
Feng Gao
Song-Chun Zhu
OffRL
78
1
0
12 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Conference on Robot Learning (CoRL), 2020
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
355
112
0
12 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni
Harshit S. Sikchi
Yufei Wang
Tejus Gupta
Lisa Lee
Benjamin Eysenbach
246
85
0
09 Nov 2020
Generative adversarial training of product of policies for robust and adaptive movement primitives
Emmanuel Pignat
Hakan Girgin
Sylvain Calinon
103
5
0
06 Nov 2020
Generative Inverse Deep Reinforcement Learning for Online Recommendation
Xiaocong Chen
Lina Yao
Aixin Sun
Xianzhi Wang
Xiwei Xu
Liming Zhu
OffRL
124
30
0
04 Nov 2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
IEEE International Conference on Robotics and Automation (ICRA), 2020
Yuchen Wu
Melissa Mozifian
Florian Shkurti
194
25
0
02 Nov 2020
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Nanlin. Lin
Yuxuan Li
Yujun Zhu
Ruolin Wang
Xiayu Zhang
Jianmin Ji
Keke Tang
Xiaoping Chen
Xinming Zhang
OffRL
140
0
0
02 Nov 2020
The MAGICAL Benchmark for Robust Imitation
Neural Information Processing Systems (NeurIPS), 2020
Sam Toyer
Rohin Shah
Andrew Critch
Stuart J. Russell
148
37
0
01 Nov 2020
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen
Jierui Lin
Trevor Darrell
Dinesh Jayaraman
Yang Gao
239
75
0
28 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
Conference on Robot Learning (CoRL), 2020
Jianren Wang
Yujie Lu
Hang Zhao
238
5
0
23 Oct 2020
Error Bounds of Imitating Policies and Environments
Tian Xu
Ziniu Li
Yang Yu
241
131
0
22 Oct 2020
Robust Imitation Learning from Noisy Demonstrations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Voot Tangkaratt
Nontawat Charoenphakdee
Masashi Sugiyama
NoLa
243
34
0
20 Oct 2020
Imitation with Neural Density Models
Neural Information Processing Systems (NeurIPS), 2020
Kuno Kim
Akshat Jindal
Yang Song
Jiaming Song
Yanan Sui
Stefano Ermon
229
14
0
19 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation
Neural Information Processing Systems (NeurIPS), 2020
Jian Shen
Han Zhao
Weinan Zhang
Yong Yu
291
32
0
19 Oct 2020
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhihao Cheng
Liu Liu
Aishan Liu
Hao Sun
Meng Fang
Dacheng Tao
135
11
0
16 Oct 2020
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning
Michael Zhang
92
0
0
09 Oct 2020
Regularized Inverse Reinforcement Learning
Wonseok Jeon
Chen-Yang Su
Paul Barde
T. Doan
Derek Nowrouzezahrai
Joelle Pineau
217
13
0
07 Oct 2020
f
f
f
-GAIL: Learning
f
f
f
-Divergence for Generative Adversarial Imitation Learning
Neural Information Processing Systems (NeurIPS), 2020
Xin Zhang
Jun Luo
Ziming Zhang
Zhi-Li Zhang
199
36
0
02 Oct 2020
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