Metadata-Version: 2.1
Name: curl_navi
Version: 0.0.9
Summary: "A minimal example of nbdev using code from Allen Downey's Think Python 2nd Ed"
Home-page: https://github.com/yelloooowww/curl_navi/tree/master/
Author: yellow
Author-email: yellow.gdr09g@nctu.edu.tw
License: Apache Software License 2.0
Keywords: nbdev
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

# Curl_Navi
> Class and functions of curriculum reinforcement learning for robot navigation


## 0. Setup

We setup a docker container for running the code.

### 0.1 Docker

host $ source ipc_run.sh

### 0.2 Generate README and Documentations

docker $ nbdev_build_docs

### 0.3 Generate Python Library

docker $ nbdev_build_lib

## 1. Get Started

### 1.1 Download Environments 

### 1.2 Visualize Paires of Start and End Points

### 1.3 Visualize Environment Difficulty

## 2. Inference

### 2.1 Download Pre-trained Weights

### 2.2 Run Single Inference

### 2.3 Run Evaluations

`cd ~/curl_navi`

## 3. Training 

### 3.1 Training in Single Environment

### 3.2 Curriculum RL Training in 2 Environmets 

### 3.3 Curriculum Scheduler


