While reinforcement learning (RL) has seen significant successes over the past few years, modern deep RL methods are often criticized for how sensitive they are with respect to their hyper-parameters.

Logarithmic tables, also known as log tables, are mathematical tools that help in solving complex arithmetic problems. These tables were widely used before the advent of electronic calculators and ...

The microstructure of physical networks, where 3D nodes and links obey volume exclusion, is key to understanding their function. Here, we develop a simple model of physical links randomly connecting ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Producing an output voltage that is directly proportional to the logarithm of an input voltage or current, logarithmic amplifier chips are often useful in applications involving signal compression, ...

This application required more flexibility than the LM3914 offers, and it uses a circuit based on an Atmel AVR-family ATTiny13 microcontroller, which features 1 kbyte of program memory; a four-channel ...

When the logarithmic depth buffer is enabled, antialiasing fails in areas where geometry intersects or lines up. See screenshot below. It feels like this would be a common issue, but I couldn't find ...