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Generative Adversarial Imitation Learning

Generative Adversarial Imitation Learning

10 June 2016
Jonathan Ho
Stefano Ermon
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Imitation Learning"

50 / 1,808 papers shown
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
Yuxuan Mu
Ziyu Zhang
Yi Shi
Minami Matsumoto
Kotaro Imamura
...
Chuan Guo
Michael Taylor
Chang Shu
Pengcheng Xi
Xue Bin Peng
115
0
0
02 Dec 2025
Adversarial Training for Process Reward Models
Adversarial Training for Process Reward Models
Gurusha Juneja
Deepak Nathani
William Yang Wang
LRM
136
0
0
28 Nov 2025
BiCQL-ML: A Bi-Level Conservative Q-Learning Framework for Maximum Likelihood Inverse Reinforcement Learning
BiCQL-ML: A Bi-Level Conservative Q-Learning Framework for Maximum Likelihood Inverse Reinforcement Learning
Junsung Park
OffRL
95
0
0
27 Nov 2025
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
Bram Silue
Santiago Amaya-Corredor
Patrick Mannion
L. Willem
Pieter J. K. Libin
109
0
0
26 Nov 2025
Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Pei Zhou
Wanting Yao
Qian Luo
Xunzhe Zhou
Yanchao Yang
73
1
0
26 Nov 2025
Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories
Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories
Rushuai Yang
Zhiyuan Feng
Tianxiang Zhang
Kaixin Wang
Chuheng Zhang
Li Zhao
Xiu Su
Yi-Ling Chen
Jiang Bian
OffRL
205
0
0
24 Nov 2025
Learning Massively Multitask World Models for Continuous Control
Learning Massively Multitask World Models for Continuous Control
Nicklas Hansen
Hao Su
Xiaolong Wang
OffRLCLLLM&Ro
529
0
0
24 Nov 2025
Reliable Selection of Heterogeneous Treatment Effect Estimators
Reliable Selection of Heterogeneous Treatment Effect Estimators
Jiayi Guo
Zijun Gao
CML
200
0
0
23 Nov 2025
Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction
Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction
Yusong Wu
Stephen Brade
Teng Ma
Tia-Jane Fowler
Enning Yang
Berker Banar
Aaron Courville
Natasha Jaques
Cheng-Zhi Anna Huang
AAML
139
0
0
22 Nov 2025
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
Hohei Chan
Xinzhi Zhang
Antao Xiang
Weinan Zhang
Mengchen Zhao
104
0
0
10 Nov 2025
Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
Sayambhu Sen
Shalabh Bhatnagar
103
0
0
10 Nov 2025
Going Beyond Expert Performance via Deep Implicit Imitation Reinforcement Learning
Going Beyond Expert Performance via Deep Implicit Imitation Reinforcement Learning
Iason Chrysomallis
Georgios Chalkiadakis
OffRL
128
0
0
05 Nov 2025
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
Xin Liu
Jinze Wu
Yinghui Li
Chenkun Qi
Yufei Xue
Feng Gao
130
0
0
05 Nov 2025
Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
Iason Chrysomallis
Georgios Chalkiadakis
OOD
240
0
0
05 Nov 2025
Fill in the Blanks: Accelerating Q-Learning with a Handful of Demonstrations in Sparse Reward Settings
Fill in the Blanks: Accelerating Q-Learning with a Handful of Demonstrations in Sparse Reward Settings
Seyed Mahdi Basiri Azad
Joschka Boedecker
OffRLOnRL
297
0
0
28 Oct 2025
Manipulate as Human: Learning Task-oriented Manipulation Skills by Adversarial Motion Priors
Manipulate as Human: Learning Task-oriented Manipulation Skills by Adversarial Motion PriorsRobotica (Cambridge. Print) (RCP), 2025
Ziqi Ma
Changda Tian
Yue Gao
AAML
62
0
0
28 Oct 2025
UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
Anqi Li
Z. T. Wang
JIazhao Zhang
Minghan Li
Y. Qi
Zhibo Chen
Zhizheng Zhang
He Wang
147
0
0
27 Oct 2025
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
Qingru Zhang
Liang Qiu
Ilgee Hong
Zhenghao Xu
Tianyi Liu
...
Bing Yin
Chao Zhang
Jianshu Chen
Haoming Jiang
T. Zhao
89
1
0
24 Oct 2025
Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parking
Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parking
Zixuan Wu
Hengyuan Zhang
Ting-Hsuan Chen
Yuliang Guo
David Paz
Xinyu Huang
Liu Ren
88
0
0
23 Oct 2025
Unified Reinforcement and Imitation Learning for Vision-Language Models
Unified Reinforcement and Imitation Learning for Vision-Language Models
Byung-Kwan Lee
Ryo Hachiuma
Yong Man Ro
Yu-Chun Wang
Yueh-Hua Wu
VLM
160
2
0
22 Oct 2025
Heterogeneous Adversarial Play in Interactive Environments
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
153
0
0
21 Oct 2025
Plasma Shape Control via Zero-shot Generative Reinforcement Learning
Plasma Shape Control via Zero-shot Generative Reinforcement Learning
Niannian Wu
Rongpeng Li
Zongyu Yang
Yong Xiao
Ning Wei
Yihang Chen
B. Li
Zhifeng Zhao
Wulyu Zhong
OffRLAI4CE
84
0
0
20 Oct 2025
Implicit State Estimation via Video Replanning
Implicit State Estimation via Video Replanning
Po-Chen Ko
Jiayuan Mao
Yu-Hsiang Fu
Hsien-Jeng Yeh
Chu-Rong Chen
Wei-Chiu Ma
Yilun Du
Shao-Hua Sun
120
1
0
20 Oct 2025
Consistent Zero-Shot Imitation with Contrastive Goal Inference
Consistent Zero-Shot Imitation with Contrastive Goal Inference
Kathryn Wantlin
Chongyi Zheng
Benjamin Eysenbach
181
0
0
20 Oct 2025
Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
Emmanuelle Claeys
Elena Kerjean
Jean-Michel Loubes
137
0
0
18 Oct 2025
HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
Yuhong Cao
Yizhuo Wang
Jingsong Liang
Shuhao Liao
Yifeng Zhang
Peizhuo Li
Guillaume Sartoretti
106
0
0
17 Oct 2025
RLAF: Reinforcement Learning from Automaton Feedback
RLAF: Reinforcement Learning from Automaton Feedback
Mahyar Alinejad
Alvaro Velasquez
Yue Wang
George Atia
OffRL
111
0
0
17 Oct 2025
Restoring Noisy Demonstration for Imitation Learning With Diffusion Models
Restoring Noisy Demonstration for Imitation Learning With Diffusion ModelsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Shang-Fu Chen
Co Yong
Shao-Hua Sun
DiffM
132
0
0
16 Oct 2025
Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation
Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation
Yi Zhang
Lili Xie
Ruihong Qiu
Jiajun Liu
Sen Wang
OffRL
107
0
0
15 Oct 2025
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
Changfu Xu
Jianxiong Guo
Yuzhu Liang
Haiyang Huang
Haodong Zou
Xi Zheng
Shui Yu
Xiaowen Chu
Jiannong Cao
Tian-sheng Wang
OffRLAI4CE
208
0
0
14 Oct 2025
Offline Reinforcement Learning with Generative Trajectory Policies
Offline Reinforcement Learning with Generative Trajectory Policies
Xinsong Feng
Leshu Tang
Chenan Wang
Haipeng Chen
OffRL
131
0
0
13 Oct 2025
DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation
DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation
Yuhui Fu
Feiyang Xie
Chaoyi Xu
Jing Xiong
Haoqi Yuan
Zongqing Lu
115
1
0
13 Oct 2025
Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
Keisuke Fujii
Kazushi Tsutsui
Yu Teshima
Makoto M. Itoh
Naoya Takeishi
Nozomi Nishiumi
Ryoya Tanaka
Shunsuke Shigaki
Yoshinobu Kawahara
OffRLSyDaAI4CE
144
0
0
12 Oct 2025
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
Shangzhe Li
Dongruo Zhou
Weitong Zhang
OffRL
175
0
0
10 Oct 2025
Rate optimal learning of equilibria from data
Rate optimal learning of equilibria from data
Till Freihaut
Luca Viano
Emanuele Nevali
Volkan Cevher
Matthieu Geist
Giorgia Ramponi
99
0
0
10 Oct 2025
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
Xinhu Li
Ayush Jain
Zhaojing Yang
Yigit Korkmaz
Erdem Bıyık
97
0
0
10 Oct 2025
DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
Ke Guo
Haochen Liu
Xiaojun Wu
Chen Lv
147
0
0
08 Oct 2025
TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility
TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility
Saman Motamed
Minghao Chen
Luc Van Gool
Iro Laina
VGenCoGe
150
0
0
08 Oct 2025
Reference Grounded Skill Discovery
Reference Grounded Skill Discovery
Seungeun Rho
Aaron Trinh
Danfei Xu
Sehoon Ha
161
0
0
07 Oct 2025
Distributional Inverse Reinforcement Learning
Distributional Inverse Reinforcement Learning
Feiyang Wu
Ye Zhao
Anqi Wu
OffRL
258
0
0
03 Oct 2025
3D-CovDiffusion: 3D-Aware Diffusion Policy for Coverage Path Planning
3D-CovDiffusion: 3D-Aware Diffusion Policy for Coverage Path Planning
Chenyuan Chen
Haoran Ding
Ran Ding
Tianyu Liu
Zewen He
Anqing Duan
Dezhen Song
Xiaodan Liang
Yoshihiko Nakamura
225
0
0
03 Oct 2025
Learning a Dense Reasoning Reward Model from Expert Demonstration via Inverse Reinforcement Learning
Learning a Dense Reasoning Reward Model from Expert Demonstration via Inverse Reinforcement Learning
Claudio Fanconi
Nicolás Astorga
M. Schaar
LRM
159
1
1
02 Oct 2025
Predictive Preference Learning from Human Interventions
Predictive Preference Learning from Human Interventions
Haoyuan Cai
Zhenghao Peng
Bolei Zhou
155
0
0
02 Oct 2025
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
Yilin Wang
Shangzhe Li
Haoyi Niu
Zhiao Huang
Weitong Zhang
H. Su
OffRL
88
1
0
02 Oct 2025
GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
Silvia Sapora
Devon Hjelm
Alexander Toshev
Omar Attia
Bogdan Mazoure
162
0
0
02 Oct 2025
Beyond Imitation: Recovering Dense Rewards from Demonstrations
Beyond Imitation: Recovering Dense Rewards from Demonstrations
Jiangnan Li
Thuy-Trang Vu
Ehsan Abbasnejad
Gholamreza Haffari
OffRL
144
0
0
02 Oct 2025
Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets
Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets
Shriram Karpoora Sundara Pandian
Ali Baheri
OffRL
111
0
0
01 Oct 2025
On Discovering Algorithms for Adversarial Imitation Learning
On Discovering Algorithms for Adversarial Imitation Learning
Shashank Reddy Chirra
Jayden Teoh
P. Paruchuri
Pradeep Varakantham
83
0
0
01 Oct 2025
Noise-Guided Transport for Imitation Learning
Noise-Guided Transport for Imitation Learning
Lionel Blondé
Joao A. Candido Ramos
Alexandros Kalousis
OT
204
0
0
30 Sep 2025
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
Yuyang Liu
Chuan Wen
Yihang Hu
Dinesh Jayaraman
Yang Gao
OffRL
131
0
0
30 Sep 2025
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