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"

41 / 241 papers shown

Title
A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments K. Bogert Prashant Doshi 21 1 0 13 Jul 2021
Contextual Inverse Optimization: Offline and Online Learning Omar Besbes Yuri R. Fonseca Ilan Lobel OffRL 22 14 0 26 Jun 2021
Imitation Learning: Progress, Taxonomies and Challenges Boyuan Zheng Sunny Verma Jianlong Zhou Ivor Tsang Fang Chen 25 85 0 23 Jun 2021
Probability Paths and the Structure of Predictions over Time Zhiyuan Jerry Lin Hao Sheng Sharad Goel 23 2 0 11 Jun 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning Zaynah Javed Daniel S. Brown Satvik Sharma Jerry Zhu Ashwin Balakrishna Marek Petrik Anca Dragan Ken Goldberg 27 16 0 11 Jun 2021
Trajectory Modeling via Random Utility Inverse Reinforcement Learning A. R. P. Neto Helano P. Santos Ticiana L. Coelho da Silva J. Macêdo 13 3 0 25 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 39 84 0 03 May 2021
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning Takato Okudo Seiji Yamada OffRL 8 21 0 13 Apr 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 49 0 31 Mar 2021
A Bayesian Approach to Identifying Representational Errors Ramya Ramakrishnan Vaibhav Unhelkar Ece Kamar J. Shah 14 3 0 28 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
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees Gregory Dexter Kevin Bello Jean Honorio 16 8 0 16 Feb 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 27 16 0 14 Feb 2021
Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling M. Hosseinzadeh Bruno Sinopoli A. Bobick 25 6 0 09 Feb 2021
Value Alignment Verification Daniel S. Brown Jordan Jack Schneider Anca D. Dragan S. Niekum 32 31 0 02 Dec 2020
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations Pamela Carreno-Medrano Stephen L. Smith Dana Kulić 9 3 0 09 Nov 2020
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization Feng Tao Yongcan Cao 6 2 0 21 Sep 2020
Bayesian Inverse Reinforcement Learning for Collective Animal Movement Toryn L. J. Schafer C. Wikle M. Hooten 14 6 0 08 Sep 2020
Deep Inverse Q-learning with Constraints Gabriel Kalweit M. Huegle M. Werling Joschka Boedecker BDL 12 33 0 04 Aug 2020
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration Joshua Lee J. Fong Bing Cai Kok Harold Soh 4 14 0 03 Aug 2020
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules Brighter Agyemang Wei-Ping Wu Daniel Addo Michael Y. Kpiebaareh Ebenezer Nanor C. R. Haruna 25 7 0 24 Jul 2020
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning Sascha Rosbach Xing Li S. Großjohann S. Homoceanu Stefan Roth 13 10 0 11 Jul 2020
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples Zhe Xu Bo Wu Aditya Ojha Daniel Neider Ufuk Topcu OffRL 14 30 0 28 Jun 2020
Maximum Entropy Multi-Task Inverse RL Saurabh Arora Bikramjit Banerjee Prashant Doshi 15 4 0 27 Apr 2020
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning Keuntaek Lee Bogdan I. Vlahov Jason Gibson James M. Rehg Evangelos A. Theodorou 22 10 0 17 Apr 2020
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data Boyi Liu Lujia Wang Ming Liu Cheng-Zhong Xu FedML 19 67 0 24 Dec 2019
Deep Bayesian Reward Learning from Preferences Daniel S. Brown S. Niekum BDL 11 34 0 10 Dec 2019
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving Sascha Rosbach Vinit James S. Großjohann S. Homoceanu Xing Li Stefan Roth 11 9 0 07 Dec 2019
Option Compatible Reward Inverse Reinforcement Learning Rakhoon Hwang HanJin Lee H. Hwang 16 10 0 07 Nov 2019
Robo-advising: Learning Investors' Risk Preferences via Portfolio Choices Humoud Alsabah A. Capponi Octavio Ruiz Lacedelli Matt Stern 16 44 0 05 Nov 2019
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation Gang Qiao H. Zhou Mubbasir Kapadia Sejong Yoon Vladimir Pavlovic AI4CE 18 8 0 02 Oct 2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 30 92 0 12 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 51 413 0 11 Aug 2019
Composing Diverse Policies for Temporally Extended Tasks Daniel Angelov Yordan V. Hristov Michael G. Burke S. Ramamoorthy 24 18 0 18 Jul 2019
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations Daniel S. Brown Wonjoon Goo S. Niekum 14 9 0 09 Jul 2019
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL Daniel Angelov Yordan V. Hristov S. Ramamoorthy 19 1 0 24 Jun 2019
There is no Artificial General Intelligence Jobst Landgrebe B. Smith AI4CE 14 8 0 09 Jun 2019
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving Sascha Rosbach Vinit James S. Großjohann S. Homoceanu Stefan Roth 9 58 0 01 May 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 19 349 0 12 Apr 2019
Energy-Based Continuous Inverse Optimal Control Yifei Xu Jianwen Xie Tianyang Zhao Chris L. Baker Yibiao Zhao Ying Nian Wu 23 19 0 10 Apr 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications Daniel S. Brown S. Niekum OffRL 20 81 0 20 May 2018