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A Gentle Introduction to Deep Reinforcement Learning in JAX
Solving the CartPole environment with DQN in under a second
Recent progress in Reinforcement Learning (RL), such as Waymo’s autonomous taxis or DeepMind’s superhuman chess-playing agents, complement classical RL with Deep Learning components such as Neural Networks and Gradient Optimization methods.
Building on the foundations and coding principles introduced in one of my previous stories, we’ll discover and learn to implement Deep Q-Networks (DQN) and replay buffers to solve OpenAI’s CartPole environment. …