} # 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