Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

15 March 2021

Jianye Hao

Papers citing "Learning Symbolic Rules for Interpretable Deep Reinforcement Learning"

7 / 7 papers shown

Title
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks Yongyan Wen Siyuan Li Rongchang Zuo Lei Yuan Hangyu Mao P. Liu 64 0 0 19 Nov 2024
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis Mehdi Zadem Sergio Mover S. Nguyen 16 5 0 14 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 32 16 0 02 Sep 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning Subhajit Chaudhury Sarathkrishna Swaminathan Daiki Kimura Prithviraj Sen K. Murugesan ... Michiaki Tatsubori Achille Fokoue Pavan Kapanipathi Asim Munawar Alexander G. Gray NAI 10 7 0 05 Jul 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
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 28 27 0 22 Mar 2022
Online Grounding of Symbolic Planning Domains in Unknown Environments Leonardo Lamanna Luciano Serafini A. Saetti Alfonso Gerevini P. Traverso 17 7 0 18 Dec 2021