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Learn to build a Deep Q-Network (DQN) reinforcement learning agent from scratch using JAX, RLax, Haiku, and Optax to solve the CartPole environment.
Learn how Neural Ordinary Differential Equations (Neural ODEs) use mathematical tools to predict future events, and how libraries like Diffrax and JAX make it easier to build these models.