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look up your name with your user number) into the phrase Hello your name! Well extend our knowledge of temporal difference learning by looking at the TD Lambda algorithm, well look at a special type of neural network called the RBF network, well look at the policy gradient method, and well end the course by looking at Deep Q-Learning. OpenAI is a non-profit founded by Elon Musk, Sam Altman (Y Combinator and others, in order to ensure that AI progresses in a way that is beneficial, rather than harmful. The function might create output by multiplying the input times two. Description, this course is all about the application of deep learning and neural networks to reinforcement learning. It allows anyone, anywhere in the world, to train their reinforcement learning agents in standard environments. Hard prerequisites / knowledge YOU ARE assumed TO have: Calculus, probability, object-oriented programming, python coding: if/else, loops, lists, dicts, sets Numpy coding: matrix and vector operations Linear regression Gradient descent Know how to build a feedforward, convolutional, and recurrent neural network in Theano and TensorFlow.
What order shoulake your courses IN?: Check out the lecture "What order should I take your courses in?" (available in the Appendix of any of my courses, including the free Numpy course) Who is the target audience? Imagine a dog that does the same trick only when asked. Professionals and students with strong technical backgrounds who wish to learn state-of-the-art AI techniques. OpenAI Gym, which well be making heavy use of in this course. The state of California is changing their regulations so that self-driving car companies can test their cars without a human in the car to supervise. As we learned in my first reinforcement learning course, one of the main principles of training reinforcement learning agents is that there are unintended consequences when training. While deep reinforcement learning and AI has a lot of potential, it also carries with it huge risk. Why train a neural network to learn about the data in a database, when you can train a neural network to interact with the real-world?
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