State2Explanation: Concept-Based Explanations to Benefit Agent Learning
and User Understanding

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding

21 September 2023

Papers citing "State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding"

15 / 15 papers shown

Title
Explainable Reinforcement Learning Agents Using World Models Madhuri Singh Amal Alabdulkarim Gennie Mansi Mark O. Riedl 19 0 0 12 May 2025
Neuro-Symbolic Generation of Explanations for Robot Policies with Weighted Signal Temporal Logic Mikihisa Yuasa R. Sreenivas Huy T. Tran 40 0 0 30 Apr 2025
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation Jaechang Kim Jinmin Goh Inseok Hwang Jaewoong Cho Jungseul Ok ELM 28 1 0 28 Oct 2024
Robot Behavior Personalization from Sparse User Feedback Maithili Patel Sonia Chernova 36 2 0 25 Oct 2024
Social Learning through Interactions with Other Agents: A Survey Dylan Hillier Cheston Tan Jing Jiang 40 0 0 31 Jul 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods Yuji Cao Huan Zhao Yuheng Cheng Ting Shu Guolong Liu Gaoqi Liang Junhua Zhao Yun Li LLMAG KELM OffRL LM&Ro 35 49 0 30 Mar 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 29 5 0 21 Mar 2024
Inferring Belief States in Partially-Observable Human-Robot Teams Jack Kolb K. Feigh 28 0 0 18 Mar 2024
Natural Language Reinforcement Learning Xidong Feng Bo Liu Mengyue Yang Ziyan Wang Girish A. Koushiks Yali Du Ying Wen Jun Wang OffRL 35 3 0 11 Feb 2024
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 24 0 18 Nov 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version) Pulkit Verma Rushang Karia Siddharth Srivastava 24 10 0 07 Jun 2023
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 38 2 0 10 Oct 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 79 52 0 19 Sep 2022
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures Devleena Das Sonia Chernova 28 20 0 08 Aug 2021
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 73 30 0 04 Feb 2020