Episode 43: Deep Reinforcement Learning
The Theory of Anything
00:00
Deep Reinforcement Learning and Examples with Code
The chapter explores the concept of deep reinforcement learning, highlighting the differences from supervised and unsupervised learning. The speaker provides examples using their code from GitHub, demonstrating the agent's performance in cart pole and lunar lander tasks.
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