Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction

2 June 2023

Papers citing "Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction"

28 / 28 papers shown

Title
Better Decisions through the Right Causal World Model Elisabeth Dillies Quentin Delfosse Jannis Blüml Raban Emunds Florian Peter Busch Kristian Kersting 34 0 0 09 Apr 2025
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence Yidan Wu Yu Yu Jianan Zhang Li Jin 38 0 0 19 Mar 2025
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement Martin Tappler Ignacio D. Lopez-Miguel Sebastian Tschiatschek Ezio Bartocci 64 0 0 13 Mar 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 46 0 0 24 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia P. Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 81 3 0 01 Nov 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 27 2 0 18 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse Devendra Singh Dhami Kristian Kersting 43 3 0 15 Oct 2024
LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition Alireza Kheirandish Duo Xu Faramarz Fekri 26 0 0 02 Oct 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 46 4 0 30 Aug 2024
OCALM: Object-Centric Assessment with Language Models Timo Kaufmann Jannis Blüml Antonia Wüst Quentin Delfosse Kristian Kersting Eyke Hüllermeier LM&Ro LRM 42 1 0 24 Jun 2024
EXPIL: Explanatory Predicate Invention for Learning in Games Jingyuan Sha Hikaru Shindo Quentin Delfosse Kristian Kersting Devendra Singh Dhami 25 5 0 10 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
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 55 4 0 26 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 40 0 0 16 Apr 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations Lirui Luo Guoxi Zhang Hongming Xu Yaodong Yang Cong Fang Qing Li 37 11 0 19 Mar 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs Antonia Wüst Wolfgang Stammer Quentin Delfosse Devendra Singh Dhami Kristian Kersting 49 13 0 13 Feb 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 55 18 0 11 Jan 2024
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning Kaustuv Mukherji Devendra Parkar Lahari Pokala Dyuman Aditya Paulo Shakarian Clark Dorman 24 2 0 10 Oct 2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments Quentin Delfosse Jannis Blüml Bjarne Gregori Sebastian Sztwiertnia Kristian Kersting 43 17 0 14 Jun 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
Neural Meta-Symbolic Reasoning and Learning Zihan Ye Hikaru Shindo Devendra Singh Dhami Kristian Kersting NAI LRM 23 1 0 21 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 49 20 0 16 Nov 2022
Differentiable Inductive Logic Programming for Structured Examples Hikaru Shindo Masaaki Nishino Akihiro Yamamoto NAI 43 29 0 02 Mar 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 37 15 0 18 Feb 2021
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 141 611 0 05 Mar 2017