Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

30 October 2017

Papers citing "Learning Robust Rewards with Adversarial Inverse Reinforcement Learning"

49 / 149 papers shown

Title
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits Wenshuo Guo Kumar Krishna Agrawal Aditya Grover Vidya Muthukumar A. Pananjady 16 8 0 28 Jun 2021
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 39 178 0 23 Jun 2021
Uncertain Decisions Facilitate Better Preference Learning Cassidy Laidlaw Stuart J. Russell 30 11 0 19 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 42 77 0 01 Jun 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning Guanjie Zheng Hanyang Liu Kai Xu Z. Li 21 11 0 20 May 2021
Make Bipedal Robots Learn How to Imitate Vishal Kumar Sinnu Susan Thomas 18 0 0 15 May 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 49 0 31 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 34 50 0 23 Mar 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning Patrick Wenzel Torsten Schön Laura Leal-Taixé Daniel Cremers 20 36 0 08 Mar 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Steven Wu 14 73 0 04 Mar 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 68 23 0 12 Dec 2020
An overview of 11 proposals for building safe advanced AI Evan Hubinger AAML 16 23 0 04 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 32 66 0 27 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar M. Tomizuka S. Schaal 8 37 0 17 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 16 105 0 12 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen Rohan R. Paleja Matthew C. Gombolay SSL 6 104 0 17 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 44 215 0 06 Oct 2020
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Yanhua Li Ziming Zhang Zhi-Li Zhang 21 31 0 02 Oct 2020
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 27 32 0 24 Jul 2020
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 16 2 0 02 Jul 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 25 3 0 18 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 18 124 0 08 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 11 2 0 02 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 15 15 0 07 May 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 19 121 0 07 Apr 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 22 100 0 21 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 36 12 0 15 Feb 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 6 117 0 07 Jan 2020
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 15 3 0 09 Dec 2019
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles Pin Wang Hanhan Li Ching-yao Chan 17 12 0 29 Nov 2019
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning Tien Mai K. Chan Patrick Jaillet CML 16 4 0 16 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 20 61 0 02 Oct 2019
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog Ryuichi Takanobu Hanlin Zhu Minlie Huang 13 89 0 28 Aug 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 24 355 0 06 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 30 20 0 03 Jul 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 17 218 0 13 Jun 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 25 51 0 09 Dec 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 26 62 0 19 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 27 25 0 06 Nov 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 8 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
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 22 212 0 20 Jun 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 20 594 0 18 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 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 14 125 0 29 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 22 656 0 02 May 2018