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A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models

11 November 2016
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
    OffRL
    AI4CE
    GAN
ArXivPDFHTML

Papers citing "A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models"

30 / 80 papers shown
Title
Adversarial recovery of agent rewards from latent spaces of the limit
  order book
Adversarial recovery of agent rewards from latent spaces of the limit order book
Jacobo Roa-Vicens
Yuanbo Wang
Virgile Mison
Y. Gal
Ricardo M. A. Silva
23
3
0
09 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization
  of Short Run MCMC for Approximate Inference
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
Erik Nijkamp
Bo Pang
Tian Han
Linqi Zhou
Song-Chun Zhu
Ying Nian Wu
BDL
DRL
19
2
0
04 Dec 2019
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning
Tien Mai
K. Chan
Patrick Jaillet
CML
18
4
0
16 Nov 2019
Learning Data Manipulation for Augmentation and Weighting
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu
Bowen Tan
Ruslan Salakhutdinov
Tom Michael Mitchell
Eric Xing
29
116
0
28 Oct 2019
Task-Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation Learning
Konrad Zolna
Scott E. Reed
Alexander Novikov
Sergio Gomez Colmenarejo
David Budden
Serkan Cabi
Misha Denil
Nando de Freitas
Ziyun Wang
GAN
28
61
0
02 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
84
0
30 Sep 2019
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain
  Task-Oriented Dialog
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
Ryuichi Takanobu
Hanlin Zhu
Minlie Huang
21
89
0
28 Aug 2019
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Meng Qu
Jian Tang
Yoshua Bengio
33
13
0
06 Jul 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
46
266
0
16 Apr 2019
Dialogue Generation: From Imitation Learning to Inverse Reinforcement
  Learning
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li
Julia Kiseleva
Maarten de Rijke
25
51
0
09 Dec 2018
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
36
825
0
16 Nov 2018
Concept Learning with Energy-Based Models
Concept Learning with Energy-Based Models
William J. Wilkinson
27
25
0
06 Nov 2018
Incremental Adversarial Learning for Optimal Path Planning
Incremental Adversarial Learning for Optimal Path Planning
Salvatore Virga
Christian Rupprecht
Nassir Navab
C. Hennersperger
GAN
15
1
0
25 Sep 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning
Adversarial Imitation via Variational Inverse Reinforcement Learning
A. H. Qureshi
Byron Boots
Michael C. Yip
16
61
0
17 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
35
256
0
09 Sep 2018
Variational Inverse Control with Events: A General Framework for
  Data-Driven Reward Definition
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu
Avi Singh
Dibya Ghosh
Larry Yang
Sergey Levine
BDL
14
125
0
29 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial
  Imitation Learning
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
Tharindu Fernando
Simon Denman
Sridha Sridharan
Clinton Fookes
GAN
29
26
0
13 May 2018
Improving GAN Training via Binarized Representation Entropy (BRE)
  Regularization
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
Yanshuai Cao
G. Ding
Kry Yik-Chau Lui
Ruitong Huang
GAN
18
19
0
09 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
24
658
0
02 May 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual
  Storytelling
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Eric Wang
Wenhu Chen
Yuan-fang Wang
William Yang Wang
16
157
0
24 Apr 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
24
230
0
19 Mar 2018
Paraphrase Generation with Deep Reinforcement Learning
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
Xin Jiang
Lifeng Shang
Hang Li
OffRL
16
213
0
01 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
36
739
0
30 Oct 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative
  Adversarial Networks
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks
Cicero Nogueira dos Santos
Kahini Wadhawan
Bowen Zhou
GAN
27
30
0
07 Jul 2017
On the Limitations of First-Order Approximation in GAN Dynamics
On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li
A. Madry
John Peebles
Ludwig Schmidt
22
55
0
29 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRL
GAN
41
127
0
02 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
30
147
0
30 May 2017
Unsupervised Perceptual Rewards for Imitation Learning
Unsupervised Perceptual Rewards for Imitation Learning
P. Sermanet
Kelvin Xu
Sergey Levine
SSL
19
156
0
20 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
269
2,552
0
25 Jan 2016
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