"A minimal example of nbdev using code from Allen Downey's Think Python 2nd Ed"
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
curl_navi-0.0.30.tar.gz
(47.0 kB
view hashes)
Built Distribution
curl_navi-0.0.30-py3-none-any.whl
(133.6 kB
view hashes)
Close
Hashes for curl_navi-0.0.30-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 928553d6b0cc7a0557f9614160fbb10400d72ed0bddac9568b825b6b474ae077 |
|
MD5 | 2200955a0bde5c27c33f4923310f29de |
|
BLAKE2b-256 | 1b9285a1b3e937cb1f099b46c7bb7cecdbe10fd9242a1b2429b5c371b14f92a4 |