This unit introduces the fundamental concepts of reinforcement learning algorithms, including Markov decision processes, Q-learning, and policy gradients. Students will explore applications of reinforcement learning in robotics, game playing, and optimization. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Overview of Machine Learning
• Introduction to Artificial Intelligence
• Relationship between Machine Learning and AI
• Supervised Learning Algorithms
• Unsupervised Learning Algorithms
• Introduction to Deep Learning
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)