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S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable
  Reinforcement Learning

S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning

12 May 2023
R. Dutta
Qinchen Wang
Ankur Singh
Dhruv Kumarjiguda
Xiaoli Li
Senthilnath Jayavelu
ArXivPDFHTML

Papers citing "S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning"

2 / 2 papers shown
Title
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
Xin Zhang
Victor S. Sheng
AI4TS
34
4
0
07 Nov 2024
Data-Efficient Learning with Neural Programs
Data-Efficient Learning with Neural Programs
Alaia Solko-Breslin
Seewon Choi
Ziyang Li
Neelay Velingker
Rajeev Alur
Mayur Naik
Eric Wong
23
5
0
10 Jun 2024
1