microsoft / microsoft/agent-learning
Port Agent Learning to Java
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10
- Forks
- 9
- Avg merge
- 1d 19h
- Merged PRs (30d)
- 4
Description
Summary
Create a native Java implementation of Agent Learning.
Rationale
Many enterprise agent platforms are implemented in Java.
Scope
Core learning loop
Policy engine
Episode store abstraction
Evaluator integration
Policy persistence
Sample applications
Acceptance Criteria
Maven package published
Feature parity with Python MVP
Java samples availabled
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the existing Python MVP and the issue's listed scope: the core learning loop, policy engine, episode store abstraction, evaluator integration, policy persistence, and sample applications. Define what feature parity means for the Java implementation, then verify that Java samples and a publishable Maven package meet the stated acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java, python
- Domain
- backend, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100