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2002.01080
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Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
International Conference on Learning Representations (ICLR), 2020
4 February 2020
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
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Papers citing
"Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations"
26 / 26 papers shown
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Nonparametric Identification of Latent Concepts
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Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
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02 Jun 2025
Explainable Reinforcement Learning Agents Using World Models
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12 May 2025
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
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Hendrik Baier
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Meiyi Ma
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Contrastive Explainable Clustering with Differential Privacy
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Ariel Vetzler
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ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
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Jörg P. Müller
317
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31 May 2024
Natural Language Reinforcement Learning
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Bo Liu
Mengyue Yang
Ziyan Wang
Girish A. Koushiks
Yali Du
Ying Wen
Jun Wang
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374
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11 Feb 2024
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2024
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Siddhant Bhambri
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295
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10 Jan 2024
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Neural Information Processing Systems (NeurIPS), 2023
Devleena Das
Sonia Chernova
Been Kim
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533
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21 Sep 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)
Neural Information Processing Systems (NeurIPS), 2023
Pulkit Verma
Rushang Karia
Siddharth Srivastava
297
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07 Jun 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Kayla Boggess
Sarit Kraus
Lu Feng
LRM
224
21
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17 May 2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Tung Thai
Mingyu Shen
M. Garg
Ayush Kalani
Nakul Vaidya
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Neeraj Varshney
Chitta Baral
Subbarao Kambhampati
Jivko Sinapov
matthias. scheutz
256
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28 Feb 2023
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning
Mudit Verma
Siddhant Bhambri
Subbarao Kambhampati
177
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17 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences
Mudit Verma
Subbarao Kambhampati
161
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17 Feb 2023
Data Driven Reward Initialization for Preference based Reinforcement Learning
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Subbarao Kambhampati
229
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Goal Alignment: A Human-Aware Account of Value Alignment Problem
Malek Mechergui
S. Sreedharan
318
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02 Feb 2023
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
International Conference on Learning Representations (ICLR), 2022
L. Guan
Kaya Stechly
Subbarao Kambhampati
515
9
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
295
6
0
27 Oct 2022
Logic-Based Explainability in Machine Learning
Sasha Rubin
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552
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Symbol Guided Hindsight Priors for Reward Learning from Human Preferences
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254
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Experiential Explanations for Reinforcement Learning
Amal Alabdulkarim
Madhuri Singh
Gennie Mansi
Kaely Hall
Mark O. Riedl
Mark O. Riedl
OffRL
578
7
0
10 Oct 2022
A Mental-Model Centric Landscape of Human-AI Symbiosis
Z. Zahedi
S. Sreedharan
Subbarao Kambhampati
196
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
386
54
0
21 Sep 2021
Discovering User-Interpretable Capabilities of Black-Box Planning Agents
International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021
Pulkit Verma
Shashank Rao Marpally
Siddharth Srivastava
ELM
LLMAG
495
26
0
28 Jul 2021
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