How to Code Hindsight Experience Replay | Deep Reinforcement Learning Tutorial

Hindsight experience replay may be an incredibly powerful algorithm for teaching robots how to perform complex manipulations, but it doesn't have to be difficult to implement. In today's video I'm going to show you a simple implementaiton using PyTorch and some of my starter code.

You can find the code for this video here:
https://gist.github.com/philtabor/d26d2565c48d0b6fb5d7426274187572

You can get the Panda-gym environments here:
https://github.com/qgallouedec/panda-gym

Learn how to turn deep reinforcement learning papers into code:

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Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22

Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22

Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22

Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22

Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications.

Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql

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