Widening the Pipeline in Human-Guided Reinforcement Learning with
Explanation and Context-Aware Data Augmentation

Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation

26 June 2020

Ruohan Zhang

Subbarao Kambhampati

Papers citing "Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation"

7 / 7 papers shown

Title
Learning from Active Human Involvement through Proxy Value Propagation Zhenghao Peng Wenjie Mo Chenda Duan Quanyi Li Bolei Zhou 104 14 0 05 Feb 2025
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification Jasmina Gajcin J. McCarthy Rahul Nair Radu Marinescu Elizabeth M. Daly Ivana Dusparic 23 3 0 30 Aug 2023
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning Mudit Verma Siddhant Bhambri Subbarao Kambhampati 37 4 0 17 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 30 2 0 17 Feb 2023
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 35 26 0 10 Oct 2022
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems Subbarao Kambhampati S. Sreedharan Mudit Verma Yantian Zha L. Guan 44 47 0 21 Sep 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 651 0 20 Mar 2021