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Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

9 September 2018

Ilya Kostrikov

Kumar Krishna Agrawal

Papers citing "Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning"

37 / 187 papers shown

Title
Online Apprenticeship Learning Lior Shani Tom Zahavy Shie Mannor OffRL 100 27 0 13 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 103 68 0 12 Feb 2021
Robust Maximum Entropy Behavior Cloning Mostafa Hussein Brendan Crowe Marek Petrik M. Begum 53 6 0 04 Jan 2021
Social NCE: Contrastive Learning of Socially-aware Motion Representations Yuejiang Liu Qi Yan Alexandre Alahi 142 103 0 21 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 114 69 0 27 Nov 2020
Generative Inverse Deep Reinforcement Learning for Online Recommendation Xiaocong Chen Lina Yao Aixin Sun Xianzhi Wang Xiwei Xu Liming Zhu OffRL 46 27 0 04 Nov 2020
The MAGICAL Benchmark for Robust Imitation Sam Toyer Rohin Shah Andrew Critch Stuart J. Russell 85 36 0 01 Nov 2020
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 113 121 0 22 Oct 2020
Addressing reward bias in Adversarial Imitation Learning with neutral reward functions Rohit Jena Siddharth Agrawal Katia Sycara GAN 38 6 0 20 Sep 2020
Forward and inverse reinforcement learning sharing network weights and hyperparameters E. Uchibe Kenji Doya 63 18 0 17 Aug 2020
Concurrent Training Improves the Performance of Behavioral Cloning from Observation Zachary Robertson Matthew R. Walter OffRL 59 3 0 03 Aug 2020
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions Sinong Geng Houssam Nassif Carlos A. Manzanares A. M. Reppen R. Sircar 51 2 0 15 Jul 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 100 22 0 28 Jun 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching Daniel Jarrett Ioana Bica M. Schaar OffRL 89 63 0 25 Jun 2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization Paul Barde Julien Roy Wonseok Jeon Joelle Pineau C. Pal Derek Nowrouzezahrai 77 27 0 23 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 122 129 0 08 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 143 226 0 01 Jun 2020
Off-Policy Adversarial Inverse Reinforcement Learning Samin Yeasar Arnob 39 12 0 03 May 2020
Energy-Based Imitation Learning Minghuan Liu Tairan He Minkai Xu Weinan Zhang 126 48 0 20 Apr 2020
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning A. Aydin Elif Surer 20 1 0 06 Apr 2020
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic Wonseok Jeon Paul Barde Derek Nowrouzezahrai Joelle Pineau 44 11 0 24 Feb 2020
Support-weighted Adversarial Imitation Learning Ruohan Wang C. Ciliberto P. Amadori Y. Demiris 49 4 0 20 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 95 13 0 15 Feb 2020
Combating False Negatives in Adversarial Imitation Learning Konrad Zolna Chitwan Saharia Léonard Boussioux D. Y. Hui Maxime Chevalier-Boisvert Dzmitry Bahdanau Yoshua Bengio 75 7 0 02 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning Ryogo Okumura Masashi Okada T. Taniguchi 77 12 0 31 Jan 2020
Relational Mimic for Visual Adversarial Imitation Learning Lionel Blondé Yichuan Tang Jian Zhang Russ Webb 49 0 0 18 Dec 2019
Positive-Unlabeled Reward Learning Danfei Xu Misha Denil 108 38 0 01 Nov 2019
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 178 61 0 02 Oct 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems Xiaotian Hao Weixun Wang Jianye Hao Yaodong Yang 58 16 0 25 Sep 2019
VILD: Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt Bo Han Mohammad Emtiyaz Khan Masashi Sugiyama 80 20 0 15 Sep 2019
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems T. Paine Çağlar Gülçehre Bobak Shahriari Misha Denil Matt Hoffman ... Duncan Williams Gabriel Barth-Maron Ziyun Wang Nando de Freitas Worlds Team 87 84 0 03 Sep 2019
Sample-efficient Adversarial Imitation Learning from Observation F. Torabi S. Geiger Garrett A. Warnell Peter Stone 68 13 0 18 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 104 228 0 13 Jun 2019
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards S. Reddy Anca Dragan Sergey Levine OffRL 78 52 0 27 May 2019
Imitation Learning from Video by Leveraging Proprioception F. Torabi Garrett A. Warnell Peter Stone 70 35 0 22 May 2019
Randomized Adversarial Imitation Learning for Autonomous Driving Myungjae Shin Joongheon Kim 66 25 0 13 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 129 267 0 16 Apr 2019