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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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310
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What is the Reward for Handwriting? -- Handwriting Generation by Imitation Learning
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Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
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Yongcan Cao
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Katia Sycara
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20 Sep 2020
A Contraction Approach to Model-based Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
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Peter J. Ramadge
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123
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18 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey
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Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
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16 Sep 2020
Toward the Fundamental Limits of Imitation Learning
Neural Information Processing Systems (NeurIPS), 2020
Nived Rajaraman
Lin F. Yang
Jiantao Jiao
K. Ramachandran
324
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0
13 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
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198
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Learning Models of Individual Behavior in Chess
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Russell Wang
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Jon M. Kleinberg
Ashton Anderson
265
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Sergey Levine
103
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Adversarial Imitation Learning via Random Search
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Joongheon Kim
83
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A Composable Specification Language for Reinforcement Learning Tasks
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Rajeev Alur
Osbert Bastani
495
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Imitation Learning with Sinkhorn Distances
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Yunpeng Li
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20 Aug 2020
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Kenji Doya
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Inverse Reinforcement Learning with Natural Language Goals
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Kevin Small
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Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
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13 Aug 2020
Imitating Unknown Policies via Exploration
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Juarez Monteiro
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Felipe Meneguzzi
Rodrigo C. Barros
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102
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0
13 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
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Phillip Swazinna
Steffen Udluft
Thomas Runkler
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333
89
0
12 Aug 2020
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
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Gerhard Neumann
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130
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Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
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Edward Johns
Tae-Kyun Kim
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166
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0
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Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
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Giovanni Montana
125
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05 Aug 2020
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Dayong Ye
Wei Wang
Wanlei Zhou
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182
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05 Aug 2020
Deep Inverse Q-learning with Constraints
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M. Huegle
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Joschka Boedecker
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04 Aug 2020
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel
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H. Yanikomeroglu
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An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
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Ishan Durugkar
Haresh Karnan
Garrett A. Warnell
Josiah P. Hanna
Peter Stone
207
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0
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Concurrent Training Improves the Performance of Behavioral Cloning from Observation
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Matthew R. Walter
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108
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Interactive Imitation Learning in State-Space
Conference on Robot Learning (CoRL), 2020
Snehal Jauhri
C. Celemin
Jens Kober
258
14
0
02 Aug 2020
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning
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Seongjin Choi
Jiwon Kim
H. Yeo
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293
155
0
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On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network
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Farnood Faraji
Yazid Attabi
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Weiping Zhu
145
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0
27 Jul 2020
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules
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Brighter Agyemang
Wei-Ping Wu
Daniel Addo
Michael Y. Kpiebaareh
Ebenezer Nanor
C. R. Haruna
176
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0
24 Jul 2020
Bayesian Robust Optimization for Imitation Learning
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Daniel S. Brown
S. Niekum
Marek Petrik
446
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24 Jul 2020
Evaluation metrics for behaviour modeling
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Iljung S. Kwak
K. Branson
128
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23 Jul 2020
Bridging the Imitation Gap by Adaptive Insubordination
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Luca Weihs
Unnat Jain
Iou-Jen Liu
Jordi Salvador
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Aniruddha Kembhavi
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Soft Expert Reward Learning for Vision-and-Language Navigation
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Qi Wu
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Lagrangian Duality in Reinforcement Learning
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Dynamic Relational Inference in Multi-Agent Trajectories
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Manish Kumar Singh
Rose Yu
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Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions
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Houssam Nassif
Carlos A. Manzanares
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177
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Socially and Contextually Aware Human Motion and Pose Forecasting
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Vida Adeli
Ehsan Adeli
Ian Reid
Juan Carlos Niebles
Hamid Rezatofighi
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AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2020
Rahul Tallamraju
Nitin Saini
Elia Bonetto
Michael Pabst
Y. Liu
Michael J. Black
Aamir Ahmad
257
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DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space
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Xiao Ma
David Hsu
102
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Learning Accurate and Human-Like Driving using Semantic Maps and Attention
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Dengxin Dai
Alexander Liniger
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A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
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Xuan Di
Rongye Shi
269
207
0
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GraphOpt: Learning Optimization Models of Graph Formation
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Jiachen Yang
H. Zha
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172
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Guided Exploration with Proximal Policy Optimization using a Single Demonstration
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Am I Building a White Box Agent or Interpreting a Black Box Agent?
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