Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...

According to @godofprompt, recursive prompting is an AI technique where system outputs are fed back in as inputs to refine solutions through multiple iterations (source: @godofprompt, Dec 16, 2025).

Over the last five years, the business world has undergone a more dramatic transformation than it did in the entire decade before. Just as companies were adapting to permanent shifts in workplace ...

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...

According to @godofprompt, integrating Feynman-style loops into AI prompts is emerging as a novel technique in prompt engineering. This approach involves iterative clarification and explanation cycles ...

Most companies still think of AI as a tool. But by 2026, AI will be part of the team—and not metaphorically. The question is no longer whether you’ll adopt AI, but how you’ll build around it. And that ...