Reinforcement Learning (RL) and Reinforcement Learning from Human Feedback (RLHF) integrate symbolic reasoning into reward shaping and policy optimization stages to enforce logical constraints, ensure decision-making consistency, and align neural outputs with human-like decision-making criteria.

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)

• symbolic reasoning concept
• Reinforcement learning from human feedback (RLHF) concept