Implementing Deep Q-Studying (DQN) from Scratch Utilizing RLax JAX Haiku and Optax to Prepare a CartPole Reinforcement Studying Agent
On this tutorial, we implement a reinforcement studying agent utilizing RLax, a research-oriented library developed by Google DeepMind for constructing reinforcement studying algorithms with JAX. We mix RLax with JAX, Haiku, and Optax to assemble a Deep Q-Studying (DQN) agent that learns to unravel the CartPole surroundings. As an alternative of utilizing a completely packaged…
