This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.
While running the data collector Python script in this repository, the efficiency is too low that it dropped to 1FPS even on a GPU3090 machine.
Is this the problem of the ways collecting the data or the problem of Carla itself?
While running the data collector Python script in this repository, the efficiency is too low that it dropped to 1FPS even on a GPU3090 machine. Is this the problem of the ways collecting the data or the problem of Carla itself?