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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Minimal implementation of the network layers of the paper "Noisy Networks for Exploration" using Pytorch.
Slide presentation reviewing advances in reinforcement learning
Example Noisy DQN implementation with ReLAx