<p>I finished working on a new algorithm in Reinforcement Learning, I need to compare it to some well-known algorithms. That's why I need to know the step-by-step procedures that RL researchers usually take in order to get their results and compare them to other papers' results. (e.g. running the algorithm multiple times with different random seeds, saving results to <code>.csv</code> files, plotting).</p>

<p>Anyone can help? </p>

<p>(I am working on Pytorch, PyBullet Environments.)</p>

CC BY-SA 4.0
2020-05-11T16:30:28.947Z
I am not sure exactly what you are looking for. To compare your procedures with well known paper, maybe use https://paperswithcode.com/
jgauth
CC BY-SA 4.0
2020-05-11T17:40:38.153Z
This question is indeed a little bit unclear. Are you looking for methods of how RL researchers do research and write their research papers?
nbro
<reinforcement-learning><research><pytorch>
What are the procedures to get RL paper results?
ASA
# What are the procedures to get RL paper results?

(Asked by: username_0 on 2020-05-11)

I finished working on a new algorithm in Reinforcement Learning, I need to compare it to some well-known algorithms. That's why I need to know the step-by-step procedures that RL researchers usually take in order to get their results and compare them to other papers' results. (e.g. running the algorithm multiple times with different random seeds, saving results to `.csv` files, plotting).

Anyone can help?

(I am working on Pytorch, PyBullet Environments.)

**Tags:** reinforcement-learning, research, pytorch

> **Comments:**
> **username_1**: I am not sure exactly what you are looking for. To compare your procedures with well known paper, maybe use https://paperswithcode.com/  
> **username_2**: This question is indeed a little bit unclear. Are you looking for methods of how RL researchers do research and write their research papers?  

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