# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import tube from pytube import DataChannelManager import minirts from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from executor_wrapper import ExecutorWrapper from executor import Executor from common_utils import to_device, ResultStat, Logger from best_models import best_executors, best_coaches def create_game(num_games, ai1_option, ai2_option,
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import random import tube from pytube import DataChannelManager from torch.utils.tensorboard import SummaryWriter import minirts import numpy as np import pickle from collections import defaultdict import torch.optim as optim from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor from common_utils import to_device, ResultStat, Logger from best_models import best_executors, best_coaches
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import random import tube from agent import Agent from pytube import DataChannelManager from common_utils import StateActionBuffer from torch.utils.tensorboard import SummaryWriter import minirts import numpy as np import pickle from collections import defaultdict import torch.optim as optim from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import set_path set_path.append_sys_path() import os import pprint import torch import rela import hanalearn assert rela.__file__.endswith(".so") assert hanalearn.__file__.endswith(".so") def create_train_env( method, seed, num_thread, num_game_per_thread, actor_cons, max_len, num_player, bomb, greedy_extra,
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import tube from pytube import DataChannelManager import minirts import numpy as np import random import pickle from collections import defaultdict from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor from common_utils import to_device, ResultStat, Logger from best_models import best_executors, best_coaches from tqdm import tqdm p1dict = defaultdict(list)
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import random import tube from agent import Agent from pytube import DataChannelManager from common_utils import StateActionBuffer from torch.utils.tensorboard import SummaryWriter import minirts import numpy as np import pickle from collections import defaultdict import torch.optim as optim from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import random import tube from agent import Agent from pytube import DataChannelManager from common_utils import StateActionBuffer from torch.utils.tensorboard import SummaryWriter import minirts import numpy as np import pickle from collections import defaultdict import torch.optim as optim from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import tube from pytube import DataChannelManager import minirts import numpy as np import random import time from torch.utils.tensorboard import SummaryWriter from simanneal.anneal import time_string import pickle from collections import defaultdict from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor from common_utils import to_device, ResultStat, Logger
# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import argparse import os import sys import pprint from set_path import append_sys_path append_sys_path() import torch import random import tube from pytube import DataChannelManager from torch.utils.tensorboard import SummaryWriter import minirts import numpy as np import pickle from collections import defaultdict import torch.optim as optim from rnn_coach import ConvRnnCoach from onehot_coach import ConvOneHotCoach from rnn_generator import RnnGenerator from itertools import groupby from executor_wrapper import ExecutorWrapper from executor import Executor from common_utils import to_device, ResultStat, Logger from best_models import best_executors, best_coaches