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Wasserstein Adversarial Imitation Learning

Wasserstein Adversarial Imitation Learning

19 June 2019
Huang Xiao
Michael Herman
Joerg Wagner
Sebastian Ziesche
Jalal Etesami
T. H. Linh
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Papers citing "Wasserstein Adversarial Imitation Learning"

16 / 16 papers shown
Title
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Yichen Wang
Le Song
H. Zha
24
1
0
22 May 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
103
2,133
0
01 Mar 2018
Large-Scale Optimal Transport and Mapping Estimation
Large-Scale Optimal Transport and Mapping Estimation
Vivien Seguy
B. Damodaran
Rémi Flamary
Nicolas Courty
Antoine Rolet
Mathieu Blondel
OT
56
245
0
07 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
91
746
0
30 Oct 2017
Smooth and Sparse Optimal Transport
Smooth and Sparse Optimal Transport
Mathieu Blondel
Vivien Seguy
Antoine Rolet
OT
42
174
0
17 Oct 2017
Socially Compliant Navigation through Raw Depth Inputs with Generative
  Adversarial Imitation Learning
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
L. Tai
Jingwei Zhang
Ming-Yuan Liu
Wolfram Burgard
GAN
32
178
0
06 Oct 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
77
9,509
0
31 Mar 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
95
3,084
0
10 Jun 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
160
5,048
0
05 Jun 2016
Stochastic Optimization for Large-scale Optimal Transport
Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay
Marco Cuturi
Gabriel Peyré
Francis R. Bach
OT
47
464
0
27 May 2016
Model-Free Imitation Learning with Policy Optimization
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho
Jayesh K. Gupta
Stefano Ermon
45
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
71
946
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
31
3,368
0
08 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
217
6,722
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
387
149,474
0
22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
87
4,210
0
04 Jun 2013
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