Port Agent Learning to Java
Maintainers usually reply within 4 days
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 30/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Domain
- backend, machine-learning
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.
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
- Dominant language
- Python
- Stars
- 10
- Forks
- 9
- Avg merge
- 2d 5h
- Merged PRs (30d)
- 10
Getting set up
We have not checked this project's setup files yet. Start from its README, and see our first-contribution guide for the general steps.
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.
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