import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot(location="model_long_training.ckpt", name="MyBot").play()
import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot(location="model_long_training.ckpt", name="Wave_Dancer V1").play()
import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot(location="model_long_training.ckpt", name="ImitationLearningBot").play()
import tsmlstarterbot import warnings warnings.filterwarnings("ignore") # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot().play()
import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot(location="Infinitum.ckpt", name="MyBot").play()
import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot(location="model_cust_training.ckpt", name="MyBot_Leader_Smarter").play()
import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. tsmlstarterbot.Bot(location4="model_multi_training.ckpt", location2="model_dual_training.ckpt", name="HappyAccident").play()
import tsmlstarterbot # Load the model from the models directory. Models directory is created during training. # Run "make" to download data and train. # tsmlstarterbot.Bot(location="model_long_training.ckpt", name="MyBot").play() tsmlstarterbot.Bot(location="model_short_training.ckpt", name="MyBot392BLUE").play()