Introduction In my last post I looked at the practicality of a human powered cargo bike. The short of it is that it’ll work okay if you live where its flat, and you don’t mind going slow. If you want to feel the wind in your hair and climb hills with ease, you’ll want to…
Category: Optimization
Physical Simulation Optimization
In my last post, I applied a reinforcement learning algorithm called Q-Learning to maximize velocity in simulations attempting a human powered land speed record. This algorithm was limited by: An incomplete physics model. A sub-optimal reward function. A single driver limit. Improving the algorithm and simulation in these three ways is the focus of this…
Reinforcement Learning for Speed
I have recently written a paper on applying Q-Learning – a reinforcement learning algorithm – to the acceleration problem brought up in my Going Fast on Your Own Power series. The paper’s abstract, the paper itself, and a corresponding presentation are below. Abstract In this report, Q-Learning is used to maximize velocity and minimize driver…
Minimizing Tax Burden Through Specific Share Identification
There is an opportunity for reducing tax burden in taxable investment accounts when you are ready to start selling shares. The goal of this post is to share a method for minimizing the tax burden associated with selling shares in a taxable account. In this exploration, I am going to focus on long term holdings…
Front Loading 401(k) Contributions
401(k) plans are a common retirement savings vehicle for people employed in the private sector in the United States. There are tax incentives for contributing to a 401(k) offered by the US government. The IRS has a great synopsis and more resources than you would ever want to dig through regarding the 401(k). A key…