microsoft / microsoft/agent-learning
Publish Microsoft Tech Community Article: Continuous Agent Improvement with Agent Learning
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10
- Forks
- 9
- Avg merge
- 1d 19h
- Merged PRs (30d)
- 4
Description
Summary
Create a Microsoft Tech Community post introducing Agent Learning.
Topics
Problem statement
Reinforcement learning for agents
AI Evaluation rewards
Action policy optimization
Enterprise scenarios
Future roadmap
Acceptance Criteria
Draft completed
Technical review completed
Publication-ready content produced
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
No files or tests are named. Start by using the listed topics as the article outline and review the repository context for Agent Learning before drafting. Done means the draft covers the problem statement, reinforcement learning, evaluation rewards, policy optimization, enterprise scenarios, and roadmap, then passes technical review and is publication-ready.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 64/100