Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems

21 September 2021

Papers citing "Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems"

34 / 34 papers shown

Title
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning Amin Banayeeanzade Mohammad Rostami CLL 53 0 0 16 Mar 2025
NatSGLD: A Dataset with Speech, Gesture, Logic, and Demonstration for Robot Learning in Natural Human-Robot Interaction Snehesh Shrestha Yantian Zha Saketh Banagiri Ge Gao Yiannis Aloimonos Cornelia Fermüller 43 0 0 23 Feb 2025
Online inductive learning from answer sets for efficient reinforcement learning exploration Celeste Veronese Daniele Meli Alessandro Farinelli OnRL 53 1 0 13 Jan 2025
Challenges in Human-Agent Communication Gagan Bansal J. W. Vaughan Saleema Amershi Eric Horvitz Adam Fourney Hussein Mozannar Victor C. Dibia Daniel S. Weld LLMAG AAML AI4CE 83 4 0 28 Nov 2024
An Epistemic Human-Aware Task Planner which Anticipates Human Beliefs and Decisions Shashank Shekhar Anthony Favier Rachid Alami 16 1 0 27 Sep 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 34 4 0 14 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Jannis Blüml Bjarne Gregori Kristian Kersting 31 7 0 06 Jun 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 32 0 0 16 Apr 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 41 18 0 19 Feb 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 52 18 0 11 Jan 2024
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics Patricio Vera Pedro Moya Lisa Barraza ELM 18 1 0 21 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 33 13 0 14 Sep 2023
How Faithful are Self-Explainable GNNs? Marc Christiansen Lea Villadsen Zhiqiang Zhong Stefano Teso Davide Mottin 18 3 0 29 Aug 2023
Egocentric Planning for Scalable Embodied Task Achievement Xiaotian Liu Héctor Palacios Christian Muise LM&Ro 22 4 0 02 Jun 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning L. Guan Karthik Valmeekam S. Sreedharan Subbarao Kambhampati LLMAG 24 157 0 24 May 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Yiming Gao Feiyu Liu Liang Wang Zhenjie Lian Weixuan Wang ... Jiawei Wang Qiang Fu Wei Yang Lanxiao Huang Wei Liu 37 6 0 23 Apr 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 32 1 0 17 Feb 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal Emanuele Marconato G. Bontempo E. Ficarra Simone Calderara Andrea Passerini Stefano Teso NAI LRM CLL 35 20 0 02 Feb 2023
Goal Alignment: A Human-Aware Account of Value Alignment Problem Malek Mechergui S. Sreedharan 18 2 0 02 Feb 2023
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 37 20 0 16 Nov 2022
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
Symbol Guided Hindsight Priors for Reward Learning from Human Preferences Mudit Verma Katherine Metcalf 29 8 0 17 Oct 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 40 31 0 04 Apr 2022
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge Kebing Jin H. Zhuo 28 5 0 15 Feb 2022
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 26 5 0 11 Oct 2021
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 43 42 0 26 Jun 2020
LIMEADE: From AI Explanations to Advice Taking Benjamin Charles Germain Lee Doug Downey Kyle Lo Daniel S. Weld 108 5 0 09 Mar 2020
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
Challenges of Human-Aware AI Systems S. Kambhampati 47 57 0 15 Oct 2019