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

no code implementations • 12 May 2023 • Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Li Xiaoli, Senthilnath Jayavelu

This paper presents a novel RL algorithm, S-REINFORCE, which is designed to generate interpretable policies for dynamic decision-making tasks.

Decision Making reinforcement-learning