https://github.com/andrearettaroli/irs-q-learning-project
Use QLearning to train a robot to avoid black areas in the arena
https://github.com/andrearettaroli/irs-q-learning-project
argos3 lua python qlearning
Last synced: about 2 months ago
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Use QLearning to train a robot to avoid black areas in the arena
- Host: GitHub
- URL: https://github.com/andrearettaroli/irs-q-learning-project
- Owner: AndreaRettaroli
- Created: 2022-11-14T15:03:08.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2022-12-10T09:49:01.000Z (almost 3 years ago)
- Last Synced: 2025-01-04T18:12:09.416Z (9 months ago)
- Topics: argos3, lua, python, qlearning
- Language: Jupyter Notebook
- Homepage:
- Size: 30.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# irs-q-learning-project
To run this project you need to use [ARGoS](https://www.argos-sim.info/)
To install ARGoS follow [this steps](https://www.argos-sim.info/core.php)
Ensure that your machine or virtual machine has all the necessary packages specified [here](https://github.com/ilpincy/argos3).
In my case i used Ubuntu 20.04 LTS 64bit virtual machine.
To run train you need to create Qtable
```
lua ./create_Q-table.lua Qtable-circuit.csv 256 3
```
This 3 params are specific for this code, 253 3 are Qtable dimensions, Qtable-circuit.csv is the filename, if you change it you need to change it also in your code.
```
./train-script.sh -f ./circuit-learning.argos -e 100
```
params e is epochs number
```
./test-script.sh -a ./circuit-testing.argos -s test-results.txt -e 100
```
test-results.txt is the name of the output file of results.
params e is epochs number.