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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
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M. Schaar
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Kaiyi Ji
Shaoshu Su
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Qihang Li
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595
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28 Jan 2025
Your Learned Constraint is Secretly a Backward Reachable Tube
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Xiaowei Liu
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Xiaofeng Zhang
Yangchun Zhang
394
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Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
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Ronald Koe
Anthony Le
Gabriella Goodman
Daniel S. Brown
Alan Kuntz
377
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17 Jan 2025
Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning
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Tribhi Kathuria
Ke Liu
Junwoo Jang
X. J. Yang
Maani Ghaffari
223
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12 Jan 2025
Robustness in the Face of Partial Identifiability in Reward Learning
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Alberto Maria Metelli
232
1
0
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SR-Reward: Taking The Path More Traveled
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Zahra Padar
Gabriel Kalweit
Joschka Boedecker
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OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
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442
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Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
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Niels Justesen
Maria Kaselimi
Sam Snodgrass
Miruna Vozaru
Matthew Schlegel
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Christoffer Holmgård
Georgios N. Yannakakis
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Julian Togelius
557
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Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network
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Zhan Zhao
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575
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On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
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Wang Zhou
Yirui Zhou
236
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31 Dec 2024
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Jiangdong Fan
Hongcai He
Paul Weng
Hui Xu
Jie Shao
262
2
0
31 Dec 2024
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
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Guim Casadellà
267
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Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment
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Reed Jensen
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Sam L. Polk
Rob Seater
Jackson Steilberg
Curran Schiefelbein
Melissa Scheldrup
Matthew C. Gombolay
Mabel D. Ramirez
OffRL
109
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23 Dec 2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
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681
2
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19 Dec 2024
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
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Xiu Yuan
Tongzhou Mu
Stone Tao
Yunhao Fang
Mengke Zhang
H. Su
OffRL
425
26
0
18 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
IEEE International Conference on Robotics and Automation (ICRA), 2024
Xin Liu
Yaran Chen
Haoran Li
SSL
557
4
0
14 Dec 2024
Swarm Behavior Cloning
International Conference on Agents and Artificial Intelligence (ICAART), 2024
Jonas Nüßlein
Maximilian Zorn
Philipp Altmann
Claudia Linnhoff-Popien
OffRL
282
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10 Dec 2024
Inverse Delayed Reinforcement Learning
S. Zhan
Qingyuan Wu
Zhian Ruan
Frank Yang
Qingyuan Wu
Yixuan Wang
Ruochen Jiao
Chao Huang
Qi Zhu
338
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04 Dec 2024
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
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Cevahir Köprülü
Po-han Li
Tianyu Qiu
Ruihan Zhao
T. Westenbroek
David Fridovich-Keil
Sandeep Chinchali
Ufuk Topcu
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434
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02 Dec 2024
Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2024
Neel Jawale
Byron Boots
Balakumar Sundaralingam
M. Bhardwaj
295
2
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27 Nov 2024
SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning
Xuzhe Dang
Stefan Edelkamp
314
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26 Nov 2024
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
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Xiao Zhang
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Tianchong Jiang
Michael Maire
Matthew R. Walter
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386
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26 Nov 2024
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Rachneet Kaur
Nishan Srishankar
Zhen Zeng
T. Balch
Manuela Veloso
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399
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Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
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Yihong Guo
Yixuan Wang
Yuanyuan Shi
Pan Xu
Anqi Liu
250
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Robot See, Robot Do: Imitation Reward for Noisy Financial Environments
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Sven Goluža
Tomislav Kovačević
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Z. Kostanjčar
206
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13 Nov 2024
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach
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Renzi Wang
F. S. Acerbo
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Panagiotis Patrinos
63
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12 Nov 2024
GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning
Xiu Yuan
211
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Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
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Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
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Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
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A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
358
6
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Few-Shot Task Learning through Inverse Generative Modeling
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Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
491
4
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07 Nov 2024
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion
International Conference on Learning Representations (ICLR), 2024
Kaizhe Hu
Zihang Rui
Yao He
Yuyao Liu
Pu Hua
Huazhe Xu
306
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0
07 Nov 2024
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
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Risto Vuorio
Cong Lu
Shimon Whiteson
292
1
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NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields
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Mara Levy
M. Gwilliam
Abhinav Shrivastava
467
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The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
Oleg Kaidanov
Firas Al-Hafez
Yusuf Suvari
Boris Belousov
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272
2
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Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
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Tian Xu
Zhilong Zhang
Ruishuo Chen
Yihao Sun
Yang Yu
275
2
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Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
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Wenchao Li
249
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SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
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Robot Policy Learning with Temporal Optimal Transport Reward
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Haichao Zhang
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Wei Xu
Benoit Boulet
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225
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Identifying Selections for Unsupervised Subtask Discovery
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Yiwen Qiu
Yujia Zheng
Kun Zhang
218
1
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Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning
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Bilal Mahdy
172
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Adversarial Environment Design via Regret-Guided Diffusion Models
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Junseo Lee
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Dohyeong Kim
Songhwai Oh
385
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MILES: Making Imitation Learning Easy with Self-Supervision
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SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
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Dieter Fox
Caelan Reed Garrett
Ajay Mandlekar
345
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ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Yue Yang
Bryce Ikeda
Gedas Bertasius
D. Szafir
213
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21 Oct 2024
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