microsoft / microsoft/agent-learning

Add Microsoft Fabric and PySpark Support

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Dominant language
Python
Stars
10
Forks
9
Avg merge
1d 19h
Merged PRs (30d)
4

Description

Summary

Enable Agent Learning execution in distributed Spark environments including Microsoft Fabric.

Motivation

The same Python package can support both standalone execution and distributed Spark-based execution using a common codebase. This pattern aligns with Microsoft Fabric library management and enterprise analytics practices.

Proposed Work
Spark-compatible package architecture
PySpark integration layer
Distributed episode processing
Fabric notebook examples
Fabric environment installation guidance
Acceptance Criteria
Fabric notebook samples
PySpark support validated
Distributed learning workflow demonstrated

Contributor guide

No contributing guide indexed for this repository

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.

Research direction

The issue does not name files, tests, or existing entry points. Start by mapping the Python package architecture and identifying how Agent Learning execution and episode processing currently work, then evaluate the proposed PySpark integration and Microsoft Fabric examples against the acceptance criteria. Done means validated PySpark support, Fabric notebook samples, installation guidance, and a demonstrated distributed learning workflow.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-engineering, distributed-systems, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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