Traceback (most recent call last):


 "trainMLAgents.py", line 86, in <module>

tc.start_learning(env, trainer_config)


 "D:\Repos\AnimalAI-Olympics\venv\lib\site-packages\animalai_train\trainers\trainer_controller.py", line 217, in start_learning

new_info = self.take_step(env, curr_info)


 "D:\Repos\AnimalAI-Olympics\venv\lib\site-packages\animalai_train\trainers\trainer_controller.py", line 288, in take_step

trainer.update_policy()


 "D:\Repos\AnimalAI-Olympics\venv\lib\site-packages\animalai_train\trainers\ppo\trainer.py", line 343, in update_policy

run_out = self.policy.update(buffer.make_mini_batch(start, end), n_sequences)


 "D:\Repos\AnimalAI-Olympics\venv\lib\site-packages\animalai_train\trainers\buffer.py", line 197, in make_mini_batch

mini_batch[key] = np.array(self[key][start:end])
ValueError: could not broadcast input array from shape (129) into shape (1)

Traceback (most recent call last):


 "/scripts/sickbeard_mp4_automator/readSettings.py", line 271, in __init__

self.abitrate = int(self.abitrate)
ValueError: invalid literal for int() with base 10: ''
