Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations

4 February 2020

Papers citing "Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations"

22 / 22 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
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An Hendrik Baier Abhishek Dubey Ayan Mukhopadhyay Meiyi Ma LRM 29 3 0 15 Jul 2024
Contrastive explainable clustering with differential privacy Dung Nguyen Ariel Vetzler Sarit Kraus Anil Vullikanti 31 1 0 07 Jun 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments Sören Schleibaum Lu Feng Sarit Kraus Jörg P. Müller 40 2 0 31 May 2024
Natural Language Reinforcement Learning Xidong Feng Ziyu Wan Mengyue Yang Ziyan Wang Girish A. Koushiks Yali Du Ying Wen Jun Wang OffRL 35 3 0 11 Feb 2024
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion? Mudit Verma Siddhant Bhambri Subbarao Kambhampati 33 21 0 10 Jan 2024
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das Sonia Chernova Been Kim LRM LLMAG 28 22 0 21 Sep 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version) Pulkit Verma Rushang Karia Siddharth Srivastava 19 10 0 07 Jun 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries Kayla Boggess Sarit Kraus Lu Feng LRM 27 11 0 17 May 2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments Tung Thai Mingyu Shen M. Garg Ayush Kalani Nakul Vaidya ... Neeraj Varshney Chitta Baral Subbarao Kambhampati Jivko Sinapov matthias. scheutz 34 0 0 28 Feb 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
Data Driven Reward Initialization for Preference based Reinforcement Learning Mudit Verma Subbarao Kambhampati 29 1 0 17 Feb 2023
Goal Alignment: A Human-Aware Account of Value Alignment Problem Malek Mechergui S. Sreedharan 18 2 0 02 Feb 2023
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences L. Guan Karthik Valmeekam Subbarao Kambhampati 51 8 0 28 Oct 2022
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion Utkarsh Soni Nupur Thakur S. Sreedharan L. Guan Mudit Verma Matthew Marquez Subbarao Kambhampati 29 6 0 27 Oct 2022
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 44 39 0 24 Oct 2022
Symbol Guided Hindsight Priors for Reward Learning from Human Preferences Mudit Verma Katherine Metcalf 29 8 0 17 Oct 2022
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
A Mental-Model Centric Landscape of Human-AI Symbiosis Z. Zahedi S. Sreedharan Subbarao Kambhampati 19 4 0 18 Feb 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
Discovering User-Interpretable Capabilities of Black-Box Planning Agents Pulkit Verma Shashank Rao Marpally Siddharth Srivastava ELM LLMAG 8 20 0 28 Jul 2021