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.
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module 'tensorflow' has no attribute 'AUTO_REUSE' #26
File "run_eval.py", line 16, in
from vae.models import ConvVAE, MlpVAE
File "C:\CARLA_0.9.13\PythonAPI\examples\Trials\RL\Carla-ppo\vae\models.py", line 33, in
class VAE():
File "C:\CARLA_0.9.13\PythonAPI\examples\Trials\RL\Carla-ppo\vae\models.py", line 40, in VAE
model_dir=".", loss_fn=bce_loss, training=True, reuse=tf.AUTO_REUSE,
AttributeError: module 'tensorflow' has no attribute 'AUTO_REUSE'
File "run_eval.py", line 16, in
from vae.models import ConvVAE, MlpVAE
File "C:\CARLA_0.9.13\PythonAPI\examples\Trials\RL\Carla-ppo\vae\models.py", line 33, in
class VAE():
File "C:\CARLA_0.9.13\PythonAPI\examples\Trials\RL\Carla-ppo\vae\models.py", line 40, in VAE
model_dir=".", loss_fn=bce_loss, training=True, reuse=tf.AUTO_REUSE,
AttributeError: module 'tensorflow' has no attribute 'AUTO_REUSE'