Port Agent Learning to Golang

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
go

Research direction

No files or tests are named. Start by surveying the repository's existing Python implementation and locating the reinforcement-learning engine, policy updates, and episode persistence entry points. Define the Go module and API boundaries before implementing; done means the module is published, the learning loop works, and examples are included.

Written by the indexing model from the issue text.

Description

Summary

Build a Go implementation of Agent Learning optimized for cloud-native agents.

Scope
Reinforcement learning engine
Policy updates
Episode persistence
Go-native API design
Acceptance Criteria
Go module published
Learning loop operational
Examples included

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

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.

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