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Generative Adversarial Imitation Learning

Generative Adversarial Imitation Learning

10 June 2016
Jonathan Ho
Stefano Ermon
    GAN
ArXivPDFHTML

Papers citing "Generative Adversarial Imitation Learning"

26 / 76 papers shown
Title
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
273
52
0
23 May 2024
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Ying Ma
Owen Burns
Mingqiu Wang
Gang Li
Nan Du
Laurent El Shafey
Liqiang Wang
Izhak Shafran
H. Soltau
SSL
ReLM
OffRL
LRM
114
0
0
22 May 2024
Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance
Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance
Kaifeng Zhang
Zhao-Heng Yin
Weirui Ye
Yang Gao
105
4
0
22 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation
ATOM: Attention Mixer for Efficient Dataset Distillation
Samir Khaki
A. Sajedi
Kai Wang
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
118
3
0
02 May 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History
Yi Xu
Weiran Shen
Xiao Zhang
Jun Xu
OffRL
175
0
0
24 Mar 2024
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu
Manav Mishra
Alec Koppel
Carl E. Busart
Priya Narayan
Dinesh Manocha
Amrit Singh Bedi
Pratap Tokekar
69
4
0
13 Mar 2024
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained Representations
Wei-Di Chang
F. Hogan
David Meger
Gregory Dudek
Gregory Dudek
77
1
0
15 Nov 2023
Synthesizing Physically Plausible Human Motions in 3D Scenes
Synthesizing Physically Plausible Human Motions in 3D Scenes
Liang Pan
Jingbo Wang
Buzhen Huang
Junyu Zhang
Haofan Wang
Xu Tang
Yangang Wang
62
29
0
17 Aug 2023
DITTO: Offline Imitation Learning with World Models
DITTO: Offline Imitation Learning with World Models
Branton DeMoss
Paul Duckworth
Nick Hawes
Ingmar Posner
Ingmar Posner
OffRL
64
18
0
06 Feb 2023
Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation
Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation
Heecheol Kim
Yoshiyuki Ohmura
Yasuo Kuniyoshi
69
28
0
18 Mar 2022
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
50
84
0
12 Aug 2020
Residual Force Control for Agile Human Behavior Imitation and Extended
  Motion Synthesis
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan
Kris Kitani
131
77
0
12 Jun 2020
Self-Supervised Reinforcement Learning for Recommender Systems
Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
SSL
OffRL
137
201
0
10 Jun 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of
  Long-Horizon Robotic Manipulation Tasks
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu
Feng Xu
Zhanpeng He
Abhi Gupta
Peter K. Allen
OffRL
136
13
0
10 Mar 2020
Compensation for undefined behaviors during robot task execution by
  switching controllers depending on embedded dynamics in RNN
Compensation for undefined behaviors during robot task execution by switching controllers depending on embedded dynamics in RNN
Kanata Suzuki
Hiroki Mori
T. Ogata
68
11
0
10 Mar 2020
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential
  Prediction
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun
Arun Venkatraman
Geoffrey J. Gordon
Byron Boots
J. Andrew Bagnell
130
235
0
03 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
158
472
0
28 Feb 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
165
1,725
0
31 Dec 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
223
5,077
0
05 Jun 2016
Model-Free Imitation Learning with Policy Optimization
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho
Jayesh K. Gupta
Stefano Ermon
47
149
0
26 May 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy
  Optimization
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn
Sergey Levine
Pieter Abbeel
108
949
0
01 Mar 2016
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
99
3,414
0
08 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,776
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Continuous Inverse Optimal Control with Locally Optimal Examples
Continuous Inverse Optimal Control with Locally Optimal Examples
Sergey Levine
V. Koltun
OffRL
85
331
0
18 Jun 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
222
3,221
0
02 Nov 2010
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