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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
Adversarial Imitation Learning with Trajectorial Augmentation and Correction
IEEE International Conference on Robotics and Automation (ICRA), 2021
Dafni Antotsiou
C. Ciliberto
Tae-Kyun Kim
154
12
0
25 Mar 2021
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions
American Control Conference (ACC), 2021
Aaron J. Havens
Bin Hu
162
18
0
24 Mar 2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
IEEE International Conference on Robotics and Automation (ICRA), 2021
Pin Wang
Hanhan Li
Ching-yao Chan
245
16
0
23 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Neural Information Processing Systems (NeurIPS), 2021
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
349
53
0
23 Mar 2021
Learning 6DoF Grasping Using Reward-Consistent Demonstration
D. Kawakami
Ryoichi Ishikawa
Menandro Roxas
Yoshihiro Sato
Takeshi Oishi
204
3
0
23 Mar 2021
Reward-Reinforced Reinforcement Learning for Multi-agent Systems
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Changgang Zheng
Shufan Yang
Juan Marcelo Parra Ullauri
A. García-Domínguez
Nelly Bencomo
160
13
0
22 Mar 2021
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery
IEEE International Conference on Robotics and Automation (ICRA), 2021
Chia-Man Hung
Li Sun
Yizhe Wu
Ioannis Havoutis
Ingmar Posner
134
6
0
22 Mar 2021
Learning to Simulate on Sparse Trajectory Data
Hua Wei
Chacha Chen
Chang-rui Liu
Guanjie Zheng
Ruoyao Xiao
122
16
0
22 Mar 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhiyu Huang
Jingda Wu
Chen Lv
442
189
0
19 Mar 2021
Human-Inspired Multi-Agent Navigation using Knowledge Distillation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Pei Xu
Ioannis Karamouzas
521
21
0
18 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
International Conference on Learning Representations (ICLR), 2021
Jongheon Jeong
Jinwoo Shin
229
67
0
17 Mar 2021
Manipulator-Independent Representations for Visual Imitation
Yuxiang Zhou
Y. Aytar
Konstantinos Bousmalis
LM&Ro
192
23
0
16 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction
International Conference on Learning Representations (ICLR), 2021
Yunfei Li
Yilin Wu
Huazhe Xu
Xiaolong Wang
Yi Wu
202
20
0
13 Mar 2021
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
IEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Dorsa Sadigh
230
35
0
10 Mar 2021
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Tianyu Wang
Nikolay Atanasov
224
1
0
10 Mar 2021
Domain-Robust Visual Imitation Learning with Mutual Information Constraints
International Conference on Learning Representations (ICLR), 2021
Edoardo Cetin
Oya Celiktutan
OOD
DRL
212
22
0
08 Mar 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Patrick Wenzel
Torsten Schön
Laura Leal-Taixé
Zorah Lähner
162
52
0
08 Mar 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
International Conference on Machine Learning (ICML), 2021
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Steven Wu
233
85
0
04 Mar 2021
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
Computer Vision and Pattern Recognition (CVPR), 2021
Elmira Amirloo
Mohsen Rohani
Ershad Banijamali
Jun Luo
Pascal Poupart
SSL
238
4
0
01 Mar 2021
Off-Policy Imitation Learning from Observations
Neural Information Processing Systems (NeurIPS), 2021
Zhuangdi Zhu
Kaixiang Lin
Bo Dai
Jiayu Zhou
OffRL
217
95
0
25 Feb 2021
Imitation Learning with Human Eye Gaze via Multi-Objective Prediction
Ravi Kumar Thakur
M. Sunbeam
Vinicius G. Goecks
Ellen R. Novoseller
R. Bera
Vernon J. Lawhern
Gregory M. Gremillion
J. Valasek
Nicholas R. Waytowich
193
7
0
25 Feb 2021
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
Nived Rajaraman
Yanjun Han
Lin F. Yang
Kannan Ramchandran
Jiantao Jiao
173
16
0
25 Feb 2021
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach
IEEE Robotics and Automation Letters (RA-L), 2021
Hiroyasu Tsukamoto
Soon-Jo Chung
OOD
233
39
0
25 Feb 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
International Conference on Machine Learning (ICML), 2021
Angelos Filos
Clare Lyle
Y. Gal
Sergey Levine
Natasha Jaques
Gregory Farquhar
204
27
0
24 Feb 2021
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Neural Information Processing Systems (NeurIPS), 2021
Kanishk Gandhi
Gala Stojnic
Brenden M. Lake
M. Dillon
397
54
0
23 Feb 2021
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
Chen Tang
Nishan Srishankar
Sujitha Martin
Masayoshi Tomizuka
246
12
0
23 Feb 2021
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
Omkar Shelke
Hardik Meisheri
H. Khadilkar
259
1
0
23 Feb 2021
MobILE: Model-Based Imitation Learning From Observation Alone
Neural Information Processing Systems (NeurIPS), 2021
Rahul Kidambi
Jonathan D. Chang
Wen Sun
241
45
0
22 Feb 2021
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
Haochen Liu
Zhiyu Huang
Jingda Wu
Chen Lv
348
89
0
18 Feb 2021
Learning Memory-Dependent Continuous Control from Demonstrations
Siqing Hou
Dongqi Han
Jun Tani
75
0
0
18 Feb 2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization
International Conference on Machine Learning (ICML), 2021
Marin Vlastelica
Michal Rolínek
Georg Martius
187
17
0
15 Feb 2021
On the Equilibrium Elicitation of Markov Games Through Information Design
Tao Zhang
Quanyan Zhu
31
1
0
14 Feb 2021
Online Apprenticeship Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Lior Shani
Tom Zahavy
Shie Mannor
OffRL
306
29
0
13 Feb 2021
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network
The Web Conference (WWW), 2021
Takuma Oda
103
9
0
13 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning
International Conference on Learning Representations (ICLR), 2021
Alex J. Chan
M. Schaar
OffRL
BDL
296
80
0
12 Feb 2021
Risk-Averse Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2021
Núria Armengol Urpí
Sebastian Curi
Andreas Krause
OffRL
201
77
0
10 Feb 2021
Robust Motion In-betweening
ACM Transactions on Graphics (TOG), 2020
Félix G. Harvey
Mike Yurick
Derek Nowrouzezahrai
C. Pal
VGen
206
332
0
09 Feb 2021
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
International Conference on Learning Representations (ICLR), 2021
Ziyi Chen
Yi Zhou
Tengyu Xu
Yingbin Liang
356
38
0
09 Feb 2021
Adversarially Guided Actor-Critic
International Conference on Learning Representations (ICLR), 2021
Yannis Flet-Berliac
Johan Ferret
Olivier Pietquin
Philippe Preux
Matthieu Geist
166
78
0
08 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
174
181
0
08 Feb 2021
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Jonathan Spencer
Sanjiban Choudhury
Arun Venkatraman
Brian Ziebart
J. Andrew Bagnell
CML
262
92
0
04 Feb 2021
Embedding Symbolic Temporal Knowledge into Deep Sequential Models
IEEE International Conference on Robotics and Automation (ICRA), 2021
Yaqi Xie
Fan Zhou
Harold Soh
AI4CE
206
21
0
28 Jan 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
501
272
0
27 Jan 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss
Cayden R. Codel
Katja Hofmann
Brandon Houghton
Noburu Kuno
...
John Schulman
Manuela Veloso
Nicholay Topin
Avinash Ummadisingu
Phillip Wang
OffRL
262
71
0
26 Jan 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
International Conference on Learning Representations (ICLR), 2021
Daochen Zha
Wenye Ma
Lei Yuan
Helen Zhou
Ji Liu
241
47
0
20 Jan 2021
Regularized Policies are Reward Robust
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Hisham Husain
K. Ciosek
Ryota Tomioka
198
28
0
18 Jan 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Computer Vision and Pattern Recognition (CVPR), 2021
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
435
279
0
17 Jan 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Yifeng Jiang
Tingnan Zhang
Daniel Ho
Yunfei Bai
Chenxi Liu
Sergey Levine
Jie Tan
GAN
291
63
0
15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges
International Journal of Computer Vision (IJCV), 2021
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
481
206
0
13 Jan 2021
Bootstrapping Motor Skill Learning with Motion Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ben Abbatematteo
Eric Rosen
Stefanie Tellex
George Konidaris
SSL
161
9
0
12 Jan 2021
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