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

Paul Christiano

Pieter Abbeel

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

19 / 69 papers shown

Title
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog Ryuichi Takanobu Hanlin Zhu Minlie Huang 13 89 0 28 Aug 2019
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning Meng Qu Jian Tang Yoshua Bengio 25 13 0 06 Jul 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 40 266 0 16 Apr 2019
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning Ziming Li Julia Kiseleva Maarten de Rijke 22 51 0 09 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa J. Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 17 823 0 16 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 22 25 0 06 Nov 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 6 61 0 17 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 27 256 0 09 Sep 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 14 124 0 29 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning Tharindu Fernando Simon Denman S. Sridharan Clinton Fookes GAN 15 26 0 13 May 2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization Yanshuai Cao G. Ding Kry Yik-Chau Lui Ruitong Huang GAN 16 19 0 09 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 22 655 0 02 May 2018
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 Justin Fu Katie Z Luo Sergey Levine 22 738 0 30 Oct 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks Cicero Nogueira dos Santos Kahini Wadhawan Bowen Zhou GAN 22 30 0 07 Jul 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric P. Xing DRL GAN 32 126 0 02 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 22 147 0 30 May 2017
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 6,743 0 26 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016