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An introduction to Reinforcement Learning

Sep 17, 2020
This episode gives a general introduction into the field of Reinforcement Learning: - High level description of the field - Policy gradients - Biggest challenges (sparse rewards, reward shaping, ...) This video forms the basis for a series on RL where I will dive much deeper into technical details of state-of-the-art methods for RL. Links: - "Pong from Pixels - Karpathy": - Concept networks for grasp & stack (Paper with heavy reward shaping): If you enjoy my videos, all support is super welcome! If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: