Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
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Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Hi, When I run the continous file I got this error: ################################################################################################## python continuous_driver.py --exp-name ppo --town Town07 ################################################################################################## Couldn't import Carla egg properly pygame 2.1.2 (SDL 2.0.16, Python 3.8.10)...
#  Hi! I tried running the continous_driver.py code and encountered this error. I see that both my carla client and server versions are 0.9.9 but getting an error stating...
WARNING: sensor object went out of the scope but the sensor is still alive in the simulation: Actor 832 (sensor.other.collision) WARNING: sensor object went out of the scope but the...
为什么中断
$ python continuous_driver.py \ --exp-name ppo \ --train False \ --town Town02 Episode: 28 , Timestep: 31494 , Reward: 167.35 , Average Reward: 210.74 Exit WARNING: sensor object went out...
Hi, When I run it, I have some questions: Why is a Variational Autoencoder (VAE) network needed? Is it necessary, or can it be removed?
I apologize for my English. I followed the instructions in your README, but I could not run the pretrained model. Each time I try, the program starts training from scratch...