Top Reinforcement Learning Courses
Reinforcement Learning Specialization (University of Alberta)
Learn to build adaptive AI systems through trial-and-error interactions. Explore foundational concepts like Markov Decision Processes and key RL algorithms.
Decision Making and Reinforcement Learning (Columbia University)
Introduces sequential decision-making and reinforcement learning, covering key RL methods like Monte Carlo and temporal difference learning.
Deep Learning and Reinforcement Learning (IBM)
Introduces deep learning and reinforcement learning, starting with neural networks and exploring algorithms that learn through rewards.
Reinforcement Learning (RWTHx)
Build a solid mathematical foundation of RL concepts and modern deep RL algorithms through hands-on exercises and programming examples.
Reinforcement Learning from Human Feedback (Deeplearning.ai)
Provides an introduction to Reinforcement Learning from Human Feedback (RLHF) for aligning large language models with human values.
Fundamentals of Deep Reinforcement Learning (LVx)
Provides an introduction to Reinforcement Learning (RL) and explores Q-learning using neural networks.
Reinforcement Learning beginner to master – AI in Python (Udemy)
Comprehensive understanding of the Reinforcement Learning (RL) paradigm and its ideal applications.
Artificial Intelligence 2.0: AI, Python, DRL + ChatGPT Prize (Udemy)
Focuses on advanced techniques in Deep Reinforcement Learning (DRL) and teaches how to implement state-of-the-art AI models.
Reinforcement Learning – Youtube Playlist (Youtube)
Provides a step-by-step introduction to Q-Learning, covering core concepts and practical Python implementations.
Deep Reinforcement Learning (Udacity)
Focuses on mastering Deep Reinforcement Learning (DRL) techniques, including value-based, policy-based, and multi-agent RL.
AWS DeepRacer Course (Udacity)
Offers a hands-on introduction to Reinforcement Learning (RL) through the application of autonomous driving with AWS DeepRacer.
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