Metadata-Version: 2.2
Name: popularl
Version: 0.0.1
Summary: A Meta-RL implementation using MAML and VAE.
Home-page: https://github.com/aksamban/popularl
Author: Aadhavan
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: gymnasium
Requires-Dist: numpy
Requires-Dist: gymnasium[box2d]
Requires-Dist: stable_baselines3
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
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# popularl
PopulaRL is an open-source Python Module that implements my research in Meta-RL and Representation Learning.
This is a **work-in-progress** Meta-Reinforcement Learning library that integrates MAML with VAE-based task encoding.

## Features (Planned & Implemented)
- [x] MAML-based adaptation
- [x] VAE for task inference
- [ ] Support for more environments
- [ ] Optimization improvements

## Installation
```bash
pip install popularl
