The technology industry has been heavily focused on the development and enhancement of machine decision-making capabilities, especially with large language models (LLMs). Traditionally, decision-making in machines was improved through reinforcement learning (RL), a process of learning from trial and error to make optimal decisions in different environments. However, the conventional RL methodologies tend to concentrate…
