[r/ML] [R] Best practices for implementing and benchmarking a custom PyTorch RL algorithm?

Summary

A user has developed a new reinforcement learning algorithm and is seeking best practices for its implementation and benchmarking using PyTorch. They are looking for guidance on code optimization, directory structure, and standard Gym environments to compare their algorithm against existing ones.

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