pendulum-examples
Examples of reinforcement learning inverting a pendulum. Uses the Myrtle real-time reinforcement learning workbench.
Written in support of a post on pendulum learning.
Running examples
Download uv at the command line if you don't already have it
curl -LsSf https://astral.sh/uv/install.sh | sh
Run examples with
uv run <script_name.py>
Choose from
uv run buckettree_ziptie_fnc.pyuv run one_hot_fnc.pyuv run q_learning_curiosity.pyuv run q_learning_epsilon.pyuv run ziptie_fnc.py
Release files for pendulum-examples 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pendulum_examples-0.1.1.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pendulum_examples-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.3 kB
Release files / pendulum_examples-0.1.1.tar.gz
| Download URL | pendulum_examples-0.1.1.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cf9ecc0020745fab167ca33d3af8c6cfc36ec4c43b991207eda3c176b6efc0de
|
|
BLAKE2b-256 checksum How to use checksums |
100c6f45af11760c858756206dc197c2d63c79e338bd5152f4ffd35bf057515f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.1
|
Release files / pendulum_examples-0.1.1-py3-none-any.whl
| Download URL | pendulum_examples-0.1.1-py3-none-any.whl |
|---|---|
| Size | 2.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
285833d110372a2adafe84fc40a45e32be1c39f56edfdfd88a6cef17fcfacb6e
|
|
BLAKE2b-256 checksum How to use checksums |
de795d2dd88370ced0dd5c46568e6ddd71bf52918b2f54654357a164449546ef
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.1
|