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Explainability in Deep Reinforcement Learning, a Review into Current
  Methods and Applications
v1v2v3 (latest)

Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications

ACM Computing Surveys (ACM CSUR), 2022
5 July 2022
Tom Hickling
Abdelhafid Zenati
Nabil Aouf
P. Spencer
    XAIAI4TS
ArXiv (abs)PDFHTML

Papers citing "Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications"

2 / 2 papers shown
Title
A Causal Explainable Guardrails for Large Language Models
A Causal Explainable Guardrails for Large Language Models
Zhixuan Chu
Yan Wang
Longfei Li
Peng Kuang
Zhan Qin
Kui Ren
LLMSV
169
12
0
07 May 2024
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential
  Decision Making
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision MakingACM Computing Surveys (ACM Comput. Surv.), 2023
Carlos Núnez-Molina
Pablo Mesejo
Juan Fernández-Olivares
364
4
0
20 Apr 2023
1