IEEE

An Efficient Human-in-the-loop Method for Stochastic Policy Reinforcement Learning

Abstract: This study introduces Entropy-Q Human-in-the-Loop Reinforcement Learning (EQ-HRL), a novel human-in-the-loop reinforcement learning framework designed for continuous control tasks. To tackle ...
IEEE

Implementation of Activation Functions using various approximation methods

Abstract: This paper compares the performance of activation function hardware under exponential function approximation techniques. The activation function is a key component of deep neural networks, ...
InfoWorld

Python vs. Kotlin: Which loops do you like better?

AI and machine learning outside of Python Python might be the best, but it’s not your only choice for AI and machine learning. Here’s what you need to know about using Java, Rust, Go, or C#/.Net for ...