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
A Novel Variational Lower Bound for Inverse Reinforcement Learning Yikang Gui Prashant Doshi 29 0 0 07 Nov 2023
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models Kun-Mo Chu Xufeng Zhao C. Weber Mengdi Li Stefan Wermter LLMAG LM&Ro 49 14 0 04 Nov 2023
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning Nicholas Corrado Yu-Tao Qu John U. Balis Adam Labiosa Josiah P. Hanna OffRL 38 3 0 27 Oct 2023
Safe and Interpretable Estimation of Optimal Treatment Regimes Harsh Parikh Quinn Lanners Zade Akras Sahar F. Zafar M. P. M. Brandon Westover Cynthia Rudin A. Volfovsky OffRL 6 1 0 23 Oct 2023
Robust Visual Imitation Learning with Inverse Dynamics Representations Siyuan Li Xun Wang Rongchang Zuo Kewu Sun Lingfei Cui Jishiyu Ding Peng Liu Zhe Ma 26 3 0 22 Oct 2023
Learning Reward for Physical Skills using Large Language Model Yuwei Zeng Yiqing Xu 36 6 0 21 Oct 2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning The Viet Bui Tien Mai Thanh Hong Nguyen 26 2 0 10 Oct 2023
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving Zhiyu Huang Peter Karkus Boris Ivanovic Yuxiao Chen Marco Pavone Chen Lv 21 26 0 09 Oct 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 54 1 0 29 Sep 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning Chao Liu Zhaoyuan Gu Hanran Wu Deniz Irem Erus Ye Zhao 42 6 0 28 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning Linqi Ye Jiayi Li Yi Cheng Xianhao Wang Bin Liang Yan Peng 29 7 0 17 Sep 2023
Human-Centered Autonomy for UAS Target Search Hunter M. Ray Zakariya Laouar Zachary Sunberg Nisar R. Ahmed 19 2 0 12 Sep 2023
A Review on Robot Manipulation Methods in Human-Robot Interactions Haoxu Zhang P. Kebria Shady M. K. Mohamed Samson Yu Saeid Nahavandi 29 0 0 09 Sep 2023
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification Jasmina Gajcin J. McCarthy Rahul Nair Radu Marinescu Elizabeth M. Daly Ivana Dusparic 25 3 0 30 Aug 2023
Conditional Kernel Imitation Learning for Continuous State Environments Rishabh Agrawal Nathan Dahlin Rahul Jain A. Nayyar 30 0 0 24 Aug 2023
Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji Amber Xie Carmelo Sferrazza Younggyo Seo Stephen James Pieter Abbeel 39 26 0 23 Aug 2023
Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning Ziteng Cheng Anthony Coache S. Jaimungal 18 0 0 16 Aug 2023
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback Souradip Chakraborty Amrit Singh Bedi Alec Koppel Dinesh Manocha Huazheng Wang Mengdi Wang Furong Huang 31 26 0 03 Aug 2023
Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI Jia Li Xiang Li 16 0 0 31 Jul 2023
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents Luigi Quarantiello Simone Marzeddu Antonio Guzzi Vincenzo Lomonaco 29 0 0 17 Jul 2023
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores Shukai Liu Chenming Wu Ying Li Liang Zhang 37 0 0 11 Jul 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 32 3 0 22 Jun 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning Nikunj Gupta Somjit Nath Samira Ebrahimi Kahou 28 0 0 19 Jun 2023
Do as I can, not as I get Shangfei Zheng Hongzhi Yin Tong Chen Quoc Viet Hung Nguyen Wei Chen Lei Zhao 29 1 0 17 Jun 2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning Alireza Shamsoshoara Fatemeh Lotfi Sajad Mousavi Fatemeh Afghah Ismail Güvenç 44 10 0 15 Jun 2023
Divide and Repair: Using Options to Improve Performance of Imitation Learning Against Adversarial Demonstrations P. Dasgupta AAML 11 0 0 07 Jun 2023
An OPC UA-based industrial Big Data architecture E. Hirsch Simon Hoher Stefan Huber AI4CE 19 4 0 02 Jun 2023
Extracting Reward Functions from Diffusion Models Felipe Nuti Tim Franzmeyer João F. Henriques 27 14 0 01 Jun 2023
Data and Knowledge for Overtaking Scenarios in Autonomous Driving M. Pinto I. Dutra Joaquim Fonseca 41 1 0 30 May 2023
Inferring the Future by Imagining the Past Kartik Chandra Tony Chen Tzu-Mao Li Jonathan Ragan-Kelley J. Tenenbaum 26 3 0 26 May 2023
Acting as Inverse Inverse Planning Kartik Chandra Tzu-Mao Li J. Tenenbaum Jonathan Ragan-Kelley 29 14 0 26 May 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 30 22 0 21 May 2023
Ensoul: A framework for the creation of self organizing intelligent ultra low power systems (SOULS) through evolutionary enerstatic networks Ty Roachford 18 0 0 26 Apr 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli Filippo Lazzati Marcello Restelli 29 13 0 25 Apr 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
Positive AI: Key Challenges in Designing Artificial Intelligence for Wellbeing Willem van der Maden Derek Lomas Malak Sadek P. Hekkert 42 1 0 12 Apr 2023
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning Shangfei Zheng Hongzhi Yin Tong Chen Quoc Viet Hung Nguyen Wei Chen Lei Zhao AI4TS 18 19 0 08 Apr 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey Tongzhou Mu H. Su OffRL 35 1 0 23 Mar 2023
A Survey of Demonstration Learning André Rosa de Sousa Porfírio Correia Luís A. Alexandre OffRL 36 17 0 20 Mar 2023
Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning Junqi Qian Paul Weng Chenmien Tan 42 1 0 16 Mar 2023
Sample-efficient Adversarial Imitation Learning Dahuin Jung Hyungyu Lee Sung-Hoon Yoon SSL 26 2 0 14 Mar 2023
UPPLIED: UAV Path Planning for Inspection through Demonstration S. S. Kannan Vishnunandan L. N. Venkatesh Revanth Krishna Senthilkumaran B. Min 36 2 0 07 Mar 2023
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning Haochen Wu Pedro Sequeira David Pynadath 31 14 0 20 Feb 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning Sheng Yue Guan-Bo Wang Wei Shao Zhaofeng Zhang Sen Lin Junkai Ren Junshan Zhang OffRL 31 20 0 09 Feb 2023
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading Shuying Gan Marie Siew Chao Xu Tony Q.S. Quek 20 1 0 09 Feb 2023
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 22 13 0 02 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 17 53 0 03 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 38 18 0 31 Dec 2022