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Learn Reinforcement Learning, earn certificates with paid and free online courses from Harvard, Stanford, MIT, Columbia University and other top universities around the world. Read reviews to decide if a class is right for you.
Explore adaptive learning systems and AI with this 22-week course from the University of Alberta. Learn to implement complete Reinforcement Learning solutions and apply them to real-world problems.
Explore decision-making and reinforcement learning with Columbia University's 8-week course. Learn utility theory, Markov decision processes, dynamic programming, and Monte Carlo methods.
Learn to build trading strategies using reinforcement learning with this 3-week course from the New York Institute of Finance. Requires advanced Python skills and financial market knowledge.
Explore data augmentation in image-based reinforcement learning with this MIT seminar. Learn from Rob Fergus, co-founder of Facebook AI Research, in under an hour.
Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: A2C, REINFORCE, DQN, etc.
Use Cutting-Edge Reinforcement Learning algorithms in Environments like Flappy Bird, Mario, Stocks and Much More!!
Learn to develop AI applications using reinforcement learning in Python. Understand Q-Learning, SARSA, and Deep Q-Learning. Apply techniques to real-world projects.
Learn reinforcement learning techniques, from policy iteration to deep reinforcement learning, in this 3-4 hour program by Steve Brunton.
Keeping the importance of Reinforcement Learning in mind, we have come up with this full course by Great Learning Faculty Dr. Narayana Darapaneni. Dr. Narayana holds a PhD in Mathematics from Pierre and Marie Curie University, Paris, France.
Learn the intersection of machine learning and control theory with reinforcement learning in less than an hour with Steve Brunton. Explore algorithms and applications.
Explore alternatives to Reinforcement Learning for real-world problems in this short program by Open Data Science. Learn about Contextual Bandits and Imitation Learning, their limitations, and applications.
Explore deep reinforcement learning with Sergey Levine from the University of Berkeley in this under 1-hour workshop offered by the Institute for Advanced Study.
Dive into Deep Reinforcement Learning with MIT's Alexander Amini. In under an hour, explore Q functions, policy learning, and real-life applications.
Dive into Deep Reinforcement Learning with MIT's Alexander Amini. Understand Q functions, Deep Q Networks, policy learning, and real-life applications in under an hour.
Dive into Deep Reinforcement Learning with MIT's Alexander Amini. Understand key concepts, Q-function, algorithms, and policy gradient in under an hour.
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