Category: Q-learning

Q-learning

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A Creative Leap: Humanoid Robots Mastering the Art of Sketching

A Creative Leap: Humanoid Robots Mastering the Art of Sketching

The development and application of artificial intelligence (AI) have ushered in a new era of artistic creation. While AI-generated art has fascinated audiences worldwide, most of it has been produced by algorithms and computational models. However, a groundbreaking study by researchers at Universidad Complutense de Madrid (UCM) and Universidad Carlos III de Madrid (UC3M) has brought us one step closer to witnessing humanoid robots actively participating in the creative process.… Read the rest

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Diffusion World Model: Bridging the Gap Between Model-Based and Model-Free Reinforcement Learning

Diffusion World Model: Bridging the Gap Between Model-Based and Model-Free Reinforcement Learning

Reinforcement learning (RL) is a powerful field that encompasses various algorithms, with model-based (MB) and model-free (MF) methods being the two main categories. While MB algorithms rely on predictive models to simulate real-world dynamics, they often face challenges due to modeling inaccuracies, leading to suboptimal performance compared to MF techniques.… Read the rest

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How Machine Learning Algorithms Are Transforming Decision-Making

How Machine Learning Algorithms Are Transforming Decision-Making

Machine learning algorithms have revolutionized decision-making across various industries, from finance to healthcare. These algorithms, a subset of artificial intelligence, enable computers to learn from data, make predictions, and make decisions without explicit programming. While there are different types of machine learning algorithms, three key types are widely used for decision-making: supervised learning, unsupervised learning, and reinforcement learning.… Read the rest

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