SimulationAI

Day 12 – Reinforcement Learning with Deep Q-Learning

Leave a Comment / Artificial Intelligence, Deep Learning / By

Introduction Reinforcement Learning (RL) is a branch of AI where agents learn to make decisions by interacting with an environment. Unlike supervised learning, RL focuses on reward-based learning, making it ideal for robotics, gaming, autonomous systems, and optimization problems. At CuriosityTech.in, learners explore Deep Q-Learning (DQL) to train agents in simulated environments, building hands-on experience […]

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Day 19 – Case Study: Self-Driving Cars with Deep Learning

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Introduction Self-driving cars represent one of the most complex and transformative applications of AI and deep learning. These vehicles rely on computer vision, sensor fusion, reinforcement learning, and decision-making algorithms to navigate safely. At Curiosity Tech, learners in Nagpur explore end-to-end autonomous vehicle pipelines, gaining hands-on experience in deep learning architectures, simulation environments, and real-world

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