Autonomous Racing  1
f1tenth Project Group of Technical University Dortmund, Germany
parameters_q_learning.py File Reference

Go to the source code of this file.

Classes

class  parameters_q_learning.NeuralQEstimator
 

Namespaces

 parameters_q_learning
 

Variables

list parameters_q_learning.ACTIONS = [(-0.6, 0.2), (0.6, 0.2), (0, 0.2)]
 
 parameters_q_learning.ACTION_COUNT = len(ACTIONS)
 
int parameters_q_learning.LASER_SAMPLE_COUNT = 8
 
 parameters_q_learning.MODEL_FILENAME
 
bool parameters_q_learning.CONTINUE = False
 
float parameters_q_learning.DISCOUNT_FACTOR = 0.99
 
int parameters_q_learning.MAX_EPISODE_LENGTH = 500
 
int parameters_q_learning.MEMORY_SIZE = 5000
 
int parameters_q_learning.BATCH_SIZE = 128
 
float parameters_q_learning.LEARNING_RATE = 0.0001
 
float parameters_q_learning.EPS_START = 1.0
 
float parameters_q_learning.EPS_END = 0.3
 
int parameters_q_learning.EPS_DECAY = 10000