Comments and feedback welcome, let's learn together!
A Reinforcement Learning
agent I developed to solve OpenAI's challenge, description here.
An attempt at a Multi-Agent Reinforcement Learning
problem to coordinate 20 pistons (agents) to push the ball from right to left (of screen) ASAP.
- Referring to https://towardsdatascience.com/multi-agent-deep-reinforcement-learning-in-15-lines-of-code-using-pettingzoo-e0b963c0820b
- DONE: Cleared disk space, Troubleshoot errors, Read PistonBall environment documentation.
- NEXT STEP:
- Briefly read the documentation of (imports) stable_baselines3 and supersuit.
- Look through code to understand what is going wrong.
- Troubleshoot again.
- Implement, and optimize. Then apply to another problem.
A Python script
for automating transfer of logged expenses from HTML Telegram saved messages to Excel using BeautifulSoup.
Motivation:
- Solves the problem of typos when I key in expenses manually.
- Saves me 30 minutes of error-checking each month. This took 5 hours to develop, so it will be worth it in 10 months!
A MERN fullstack web application
to inspire users, through imagery or weblinks. Check it out here.
Motivation:
- Sometimes we are stuck in the same loop of thinking (think: same friends, same family), and having a chance to see a fresh perspective will help to give us new ideas.