"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-0.0.16.tar.gz
(97.4 kB
view hashes)
Built Distribution
curl_navi-0.0.16-py3-none-any.whl
(126.9 kB
view hashes)
Close
Hashes for curl_navi-0.0.16-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1acb8f63274a8018f8d0bea2af01e92c5debaab780db79674b18870557ffef56 |
|
MD5 | dfe1845c2be75dffb6f8febc817a5263 |
|
BLAKE2b-256 | 484cb72946e8556f945689a1940e3f036745da69d81cfe35daa21a0307690ba9 |