Episode 43: Deep Reinforcement Learning
The Theory of Anything
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Deep Reinforcement Learning and Markov Decision Processes
This chapter discusses the concept of deep reinforcement learning and Markov decision processes (MDPs). It explains the differences between reinforcement learning and supervised/unsupervised learning, as well as distinguishing reinforcement learning from semi-supervised learning. The chapter further delves into MDPs, including states, actions, rewards, state transition, and reward functions.
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