RL Implementation

[andreasbinder]

Hi, thank you for the paper and the interesting concept!

We want to build on your idea, using RL methods. However, in your code I did not find the policy implementations.
I assume they are supposed to be here.

It would be great if you can share your code so that I can experiment also on my own :)
Keep up the good work!

[Sheerkay]

In your paper, you mentioned using an improved version of the REINFORCE algorithm [32] to directly train the ToT (Tree of Thought) controller and the prompt agent. However, in the code of your GitHub project, I did not find the corresponding reinforcement learning method. It seems that your strategy still relies on natural language prompts.

[phuleratribhuwan]

@Sheerkay I came across the same thing while exploring—it appears to be basic code with minimal effort, relying mainly on well-crafted text prompts for the problem. The true power seems to lie in the NLP or GPT capabilities behind it.