Evolutionary algorithms can optimize game parameters and enhance design for complex games. Grail is a middleware that uses AI to implement techniques like Utility…
Browsing: Evolutionary Algorithms
The article discusses the binary genetic algorithm (BGA), which is a type of evolutionary algorithm used to solve optimization problems. BGA uses principles of…
This article explores the concept of AI-driven evolution in robotics, where robots can learn and adapt autonomously through machine learning and neural networks. It…
Reinforcement learning and evolutionary algorithms are two distinct approaches to training AI models, each with its own strengths and applications. RL involves an agent…
This Special Issue aims to publish extended versions of papers in machine learning communications and electronics. Potential topics include but are not limited to…
Go-Explore is a reinforcement learning algorithm designed to find optimal solutions to complex problems that have a large action and state space. The algorithm…
Computational Intelligence (CI) is a subfield of Artificial Intelligence (AI) that focuses on developing AI systems that are inspired by biological systems and evolutionary…
Artificial Intelligence (AI) is the ability of a computer or robot to perform operations and tasks similar to learning and decision-making in humans. AI…