Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...

According to Chris Olah (@ch402), a simple transcoder can mimic the absolute value function by using two features per dimension, as illustrated in his recent tweet. This approach highlights how AI ...

Stock ownership represents a fractional share in a company, generally conferring voting rights and potentially dividend income. The P/E ratio, calculated by dividing the stock price by the earnings ...

Abstract: This paper gives a novel generalized absolute value representation of two-dimensional continuous piecewise-linear (PWL) functions, which is obtained by analyzing the fundamental structures ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

It searches recursively in the given directory path for files that match the provided regex pattern. The found files are stored in a variable, and the total number of files found is recorded in ...

Value functions are a core component of deep reinforcement learning (RL). Value functions, implemented with neural networks, undergo training via mean squared error ...

Understanding the concept of absolute values is vital for tackling algebraic equations and evaluating various mathematical expressions. The absolute value of a number is the distance from zero on the ...