A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress

18 June 2018

Papers citing "A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress"

50 / 241 papers shown

Title
Inverse Reinforcement Learning for Text Summarization Yujiao Fu Deyi Xiong Yue Dong 45 4 0 19 Dec 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun-Yen Huang E. Hu Dinesh Jayaraman OffRL 38 5 0 17 Dec 2022
Tight Performance Guarantees of Imitator Policies with Continuous Actions Davide Maran Alberto Maria Metelli Marcello Restelli OffRL 28 4 0 07 Dec 2022
Personalized Reward Learning with Interaction-Grounded Learning (IGL) Jessica Maghakian Paul Mineiro Kishan Panaganti Mark Rucker Akanksha Saran Cheng Tan 21 8 0 28 Nov 2022
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning Tuan-Duong Trinh Haoyu Chen Daniel S. Brown OffRL 36 7 0 28 Nov 2022
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning Yaxuan Wang Zhixin Zeng Qijun Zhao 18 0 0 19 Nov 2022
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow Zhengbang Zhu Shenyu Zhang Yuzheng Zhuang Yuecheng Liu Minghuan Liu ... Bin Wang Siqi Cheng Xinyu Wang Jianye Hao Yong Yu 14 8 0 07 Nov 2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks Edwin Zhang Yujie Lu William Wang Amy Zhang DiffM LM&Ro 32 16 0 27 Oct 2022
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 32 1 0 26 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 32 27 0 24 Oct 2022
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 25 2 0 07 Oct 2022
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing Xiatao Sun Mingyan Zhou Zhijun Zhuang Shuo Yang Johannes Betz Rahul Mangharam OffRL 39 20 0 29 Sep 2022
Reward Learning using Structural Motifs in Inverse Reinforcement Learning Raeid Saqur 26 2 0 25 Sep 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings Tim Franzmeyer Philip Torr João F. Henriques OOD 34 21 0 24 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 79 45 0 16 Sep 2022
Negative Human Rights as a Basis for Long-term AI Safety and Regulation Ondrej Bajgar Jan Horenovsky FaML 24 9 0 31 Aug 2022
A Study on Learning and Simulating Personalized Car-Following Driving Style Shili Sheng Erfan Pakdamanian Kyungtae Han Ziran Wang Lu Feng 9 3 0 17 Aug 2022
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning Lu Gan J. Grizzle Ryan Eustice Maani Ghaffari 32 28 0 07 Jul 2022
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial Travis LaCroix 30 3 0 02 Jul 2022
Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network Frensi Zejnullahu Maurice Moser Joerg Osterrieder AIFin 21 4 0 28 Jun 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy E. Uchibe 23 3 0 21 Jun 2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence Jonas Nüßlein Steffen Illium Robert Muller Thomas Gabor Claudia Linnhoff-Popien 27 1 0 12 Jun 2022
Models of human preference for learning reward functions W. B. Knox Stephane Hatgis-Kessell Serena Booth S. Niekum Peter Stone A. Allievi 35 43 0 05 Jun 2022
Uniqueness and Complexity of Inverse MDP Models Marcus Hutter Steven Hansen 25 4 0 02 Jun 2022
Reinforcement Learning with a Terminator Guy Tennenholtz Nadav Merlis Lior Shani Shie Mannor Uri Shalit Gal Chechik Assaf Hallak Gal Dalal 25 5 0 30 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 38 7 0 13 May 2022
Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach Shih-Chun Lin Chia-Hung Lin Wei-Chi Chen AI4CE 17 2 0 26 Apr 2022
GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning Jinyin Chen Shulong Hu Haibin Zheng Changyou Xing Guomin Zhang 29 3 0 05 Apr 2022
Your Policy Regularizer is Secretly an Adversary Rob Brekelmans Tim Genewein Jordi Grau-Moya Grégoire Delétang M. Kunesch Shane Legg Pedro A. Ortega AAML 26 12 0 23 Mar 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning Fan Ding Yeiang Xue 6 7 0 22 Mar 2022
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method Alvin C M Shek Bo Ying Su Rui Chen Changliu Liu 14 5 0 09 Mar 2022
Zero-Shot Assistance in Sequential Decision Problems Sebastiaan De Peuter Samuel Kaski 18 6 0 15 Feb 2022
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search Karl Kurzer M. Bitzer J. Marius Zöllner 6 6 0 14 Feb 2022
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract) Hansin Ahuja Lynnette Hui Xian Ng Kokil Jaidka 6 1 0 31 Dec 2021
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu Georgios Theocharous David Arbour Emma Brunskill 33 6 0 30 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 23 95 0 24 Dec 2021
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits Rotem Leibovitz Jhonathan Osin L. Wolf G. Gurevitch Talma Hendler 12 0 0 21 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 34 4 0 16 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 157 0 18 Nov 2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control Yuheng Wang Margaret P. Chapman 38 34 0 18 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 35 84 0 17 Sep 2021
Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise P. Suresh Prashant Doshi 15 6 0 16 Sep 2021
Cognitive science as a source of forward and inverse models of human decisions for robotics and control Mark K. Ho Thomas Griffiths 19 37 0 01 Sep 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter Hanbo Zhang Yunfan Lu Cunjun Yu David Hsu Xuguang Lan Nanning Zheng LM&Ro 29 63 0 25 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 29 9 0 04 Aug 2021
A Survey of Human-in-the-loop for Machine Learning Xingjiao Wu Luwei Xiao Yixuan Sun Junhang Zhang Tianlong Ma Liangbo He SyDa 46 506 0 02 Aug 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 90 6 0 31 Jul 2021
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards Tim Franzmeyer Mateusz Malinowski João F. Henriques 11 8 0 20 Jul 2021
Offline Preference-Based Apprenticeship Learning Daniel Shin Daniel S. Brown Anca D. Dragan OffRL 27 17 0 20 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