Hi,

Apologies if this question has been asked before or if the answer is obvious. I’m still relatively new to reinforcement learning, robotics, and simulation, having started just a month ago.

I’m currently working on a reinforcement learning task for a drone that needs to navigate through a level to reach a desired position on the opposite side. To achieve this, I’ve added a camera to the drone for perception.

My question is: how should I approach training for such an application? In your opinion, what would be the fastest and most effective way to implement this?

Would it be better to:

1. Build my own library and custom wrappers?
2. Modify an existing library like RSL-RL?
3. Consider another approach entirely?

Thanks in advance for your responses