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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 decision-making and reinforcement learning with Columbia University's 8-week course. Learn utility theory, Markov decision processes, dynamic programming, and Monte Carlo methods.
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.
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.
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 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.
Learn to develop AI applications using reinforcement learning in Python. Understand Q-Learning, SARSA, and Deep Q-Learning. Apply techniques to real-world projects.
Master the fundamentals of Q Learning and Deep Q Learning in this 3-4 hour online program, including creating an RL environment and training/testing DQN agents.
Dive into Reinforcement Learning with this 17-hour program, covering topics from introduction to advanced deep RL, planning, models, and classic games case study.
Edureka offers the best Reinforcement Learning course online. Learn basics of Rein reinforcement Learning Bandit Algorithms (UCB, PAC, Median Elimination, Policy Gradient), Dynamic Programming, Value Function, Bellman Equation, Value Iteration, and Polic…
Learn reinforcement learning techniques, from policy iteration to deep reinforcement learning, in this 3-4 hour program by Steve Brunton.
Learn the intersection of machine learning and control theory with reinforcement learning in less than an hour with Steve Brunton. Explore algorithms and applications.
Learn the basics of Reinforcement Machine Learning and its implementation using Python in less than an hour.
Dive into reinforcement learning with this 6-hour course, covering topics from Actor Critic to A3C methods using TF2 and PyTorch.
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.
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