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  1. Cheaply Approximating KL Against an EMA: An Async RL Hack

    KL regularization against a reference policy can stabilize and improve RL training of LLMs, but computing the KL term requires an additional forward pass through the reference model.

  2. Andrej Karpathy wrote a great post last year on how to train a neural network to play the Atari game Pong by using the Policy Gradients reinforcement learning (RL) algorithm.

  3. Artificial Neural Network in Python

    My research group has been discussing Artificial Neuron-Glia Networks lately.