}
# Input hyperparametres here
chosen_map = 'House'
algo = algorithms['A*'] # Choose which planner
ani = animations['Fast'] # Choose animation speed
debug = debug['High'] # Choose debug level
training_algo = trained_alg[
args.
model] # Chooses the algorithm to train, either CAE, BasicLSTMModule,LSTMCAEModel
nbr_ex = args.num_maps # Number of maps generated
show_sample_map = False # shows 5 samples
gen_start = True
train_start = True
sim_start = False
config.generator_house_expo = False
analyzer_start = False
config.generator_size = 64 # Change the size of the maps generated
# Cache
config.clear_cache = True
# Generator
mp = maps[chosen_map]
# Chooses map for generation
# Simulator
config.load_simulator = sim_start
config.simulator_graphics = False
config.simulator_initial_map = mp
config.simulator_algorithm_type, config.simulator_testing_type, config.simulator_algorithm_parameters = algo
algorithms = {
"A*": (AStar, AStarTesting, ([], {})),
}
#Input hyperparametres here
chosen_map = 'House'
algo = algorithms['A*'] #Choose which planner
ani = animations['Fast'] #Choose animation speed
debug = debug['High'] #Choose debug level
#training_algo = CombinedOnlineLSTM #Chooses the algorithm to train, either CAE, BasicLSTMModule,LSTMCAEModel
nbr_ex = 100 #Number of maps generated
show_sample_map = False #shows 5 samples
gen_start = True
train_start = False
sim_start = False
config.generator_house_expo = True
analyzer_start = False
config.generator_size = 64 # Change the size of the maps generated
#Cache
config.clear_cache = True
#Generator
mp = maps[chosen_map]
#Chooses map for generation
#Simulator
config.load_simulator = sim_start
config.simulator_graphics = True
# config.simulator_initial_map, config.simulator_grid_display = mp
# config.simulator_algorithm_type, config.simulator_testing_type, config.simulator_algorithm_parameters = algo