munich-quantum-toolkit / munich-quantum-toolkit/predictor

✨ add step-wise intermediate rewards

Open
#670 0 comments 0 reactions 2 assignees View on GitHub

@flowerthrower is already working on this.

Since Aug 27, 2026.

enhancement major
Dominant language
Python
Stars
87
Forks
23
Avg merge
6h 23m
Merged PRs (30d)
35

Description

The RL agent currently only learns from terminal rewards. Intermediate rewards lead to more efficient policies.

Mostly implemented in #526

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.