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Main Bibliography |
-The slides from the theoretical classes.
-Robin R. Murphy, Introduction to AI Robotics, MIT Press, 2019.
-Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, The MIT Press, 2016.
-Richard S. Sutton, Andrew G. Barto, Reinforcement Learning: An Introduction, 2nd Ed., Bradford Books, 2018.
-Nikolaus Correll, Bradley Hayes, Christoffer Heckman, and Alessandro Roncone, Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms, The MIT Press, 2022.
-Fundamentals of Deep Reinforcement Learning -- Theory and Practice in Python, L. Graesser, W. Keng, Addison-Wesley, 2019
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