Hyper parameters

Hyper-parameter name	Default Value
batch_size	64
num_epochs	10
stack_size	1
lr	0.0003
exploration_type	categorical
e_greedy_value	0.05
epsilon_steps	10000
beta_entropy	0.01
discount_factor	0.999
loss_type	Mean squared error
num_episodes_between_training	20
term_cond_max_episodes	100000
term_cond_avg_score	100000

You can set the values in rl_deepracer_coach_robomaker.py, in the hyperparameters variable.