Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

30 October 2017

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

50 / 189 papers shown

Title
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 26 11 0 10 Dec 2021
Sample Efficient Imitation Learning via Reward Function Trained in Advance Lihua Zhang 27 1 0 23 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 32 23 0 14 Nov 2021
Human irrationality: both bad and good for reward inference Lawrence Chan Andrew Critch Anca Dragan 17 26 0 12 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies Sapana Chaudhary Balaraman Ravindran 24 1 0 03 Nov 2021
Curriculum Offline Imitation Learning Minghuan Liu Hanye Zhao Zhengyu Yang Jian Shen Weinan Zhang Li Zhao Tie-Yan Liu OffRL 29 1 0 03 Nov 2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain Yachen Kang Jinxin Liu Xin Cao Donglin Wang 23 3 0 21 Oct 2021
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System M. Schultheis Dominik Straub Constantin Rothkopf 13 20 0 21 Oct 2021
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz Assaf Hallak Gal Dalal Shie Mannor Gal Chechik Uri Shalit OOD OffRL 55 15 0 13 Oct 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 26 5 0 11 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration Letian Chen Rohan R. Paleja Matthew C. Gombolay 13 2 0 08 Oct 2021
How To Not Drive: Learning Driving Constraints from Demonstration K. Rezaee Peyman Yadmellat 31 3 0 01 Oct 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos Yuzhe Qin Yueh-hua Wu Shaowei Liu Hanwen Jiang Ruihan Yang Yang Fu Xiaolong Wang 134 190 0 12 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 29 9 0 04 Aug 2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences Alan Chan Hugo Silva Sungsu Lim Tadashi Kozuno A. R. Mahmood Martha White 25 29 0 17 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 81 28 0 13 Jul 2021
Multi-Agent Imitation Learning with Copulas Hongwei Wang Lantao Yu Zhangjie Cao Stefano Ermon AI4CE 35 12 0 10 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 32 66 0 08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
The MineRL BASALT Competition on Learning from Human Feedback Rohin Shah Cody Wild Steven H. Wang Neel Alex Brandon Houghton ... Stephanie Milani Nicholay Topin Pieter Abbeel Stuart J. Russell Anca Dragan 35 31 0 05 Jul 2021
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 51 178 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 47 77 0 01 Jun 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning Guanjie Zheng Hanyang Liu Kai Xu Z. Li 29 11 0 20 May 2021
Make Bipedal Robots Learn How to Imitate Vishal Kumar Sinnu Susan Thomas 18 0 0 15 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference Xiaocong Chen Lina Yao Xianzhi Wang Aixin Sun Wenjie Zhang Quan Z. Sheng 17 8 0 03 May 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 49 0 31 Mar 2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks Pin Wang Hanhan Li Ching-yao Chan 27 9 0 23 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 28 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 22 73 0 04 Mar 2021
Off-Policy Imitation Learning from Observations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 26 86 0 25 Feb 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 22 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 Synthetic to Real Transfer for Localization and Navigational Tasks Maxime Pietrantoni Boris Chidlovskii T. Silander 19 0 0 20 Nov 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan Q. Nguyen Bryan Kian Hsiang Low Harold Soh 6 26 0 17 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar Masayoshi 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
Quadratic Metric Elicitation for Fairness and Beyond G. Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 27 5 0 03 Nov 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 39 11 0 19 Oct 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 44 216 0 06 Oct 2020
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Jun Luo Ziming Zhang Zhi-Li Zhang 21 32 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 21 2 0 02 Jul 2020