rlworkgroup/garage

Add support for multiple layers for recurrent network models

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#709 opened on Jun 1, 2019

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Description

Current recurrent network models, e.g. LSTMModel, only take single recurrent layer, which may not be sufficient for learning complex tasks. We should support multiple layers.

Contributor guide

Research direction
Investigate the current recurrent model architecture and plan how to extend it to support multiple layers, ensuring compatibility with existing training loops.
Tech stack
python
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonBasics of recurrent neural networks
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65