A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making

no code implementations • 21 Feb 2024 • Chitra Subramanian, Miao Liu, Naweed Khan, Jonathan Lenchner, Aporva Amarnath, Sarathkrishna Swaminathan, Ryan Riegel, Alexander Gray

To enable decision-making under uncertainty and partial observability, we developed a novel probabilistic neuro-symbolic framework, Probabilistic Logical Neural Networks (PLNN), which combines the capabilities of logical reasoning with probabilistic graphical models.

Decision Making Decision Making Under Uncertainty +2