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DeepRL-Tutorials - Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  •    Jupyter

The intent of these IPython Notebooks are mostly to help me practice and understand the papers I read; thus, I will opt for readability over efficiency in some cases. First the implementation will be uploaded, followed by markup to explain each portion of code. I'll be assigning credit for any code which is borrowed in the Acknowledgements section of this README.

Hands-On-Intelligent-Agents-with-OpenAI-Gym - Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

  •    Python

HOIAWOG!: Your guide to developing AI agents using deep reinforcement learning. Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator.