Subramanian et al. demonstrated that incorporating neuro-symbolic approaches into multi-agent reinforcement learning enhances both interpretability and probabilistic decision-making, making systems robust in environments with partial observability or uncertainties.

Authors

• Person: Not available Organization: arXiv
  Unlocking the Potential of Generative AI through Neuro-Symbolic ...

Sources

• Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org arXiv via serper

Referenced by nodes (2)

• neuro-symbolic systems concept
• interpretability concept