Hyperdimensional computing (HDC) is a brain-inspired computing paradigm that operates
on pseudo-random hypervectors, an information-rich, hardware-efficient representation that …

This paper proposes a zonation method for training the two reinforcement learning agents.
We demonstrate the method's effectiveness in the double snake game. The game consists of …

Abstract GitHub Repository: https://github. com/SeVEnMY/DeepLearningFinal In this work,
we demonstrate the use of deep reinforcement learning (DRL) to play a modified version of …

With the explosive growth of wearable devices across a wide range of medical applications,
the ability to monitor a broad range of biosignals becomes increasingly viable. Wireless …

In today's digital era, the explosive growth of data and the increasing prominence of artificial
intelligence (AI) have made neural networks a linchpin of modern computing. These …

Deep reinforcement learning is now a potent tool for building intelligent agents that excel in
challenging strategic games. Chess, a well-liked board game with lots of room for …

Implementación de Algoritmos de Aprendizaje por Refuerzo Avanzados para el Control en
Espacio Continuo En la actualidad, el control automático se está introduciendo más en las …

In this paper, reinforcement learning will be applied to the game flappy bird with two
methods DQN and Q-learning. Then, we compare the performance through the visualization …

Reinforcement learning (RL) in Artificial Intelligence (AI) is suitable for learning to play and
improving in playing the game over time. With the success of ATARI where AI agent was …

Eine der beliebtesten Herausforderungen der letzten Jahre auf dem Gebiet der künstlichen
Intelligenz ist die Entwicklung von Agenten, die in der Lage sind, das Spielen von …