from mrunner.helpers.specification_helper import create_experiments_helper experiments_list = create_experiments_helper( experiment_name='RND toyMR', base_config={ "idx": 0, "env_id": "chain_env", "env_size": None, }, params_grid={ "idx": [0], "env_size": list(range( 1, 30, )), }, script='python3 -m run_toy_mr --mrunner --output_dir=./out ' '--config_file=configs/empty.gin', exclude=[ '.pytest_cache', '.vagrant', '__pycache__', 'checkpoints', 'out', 'Vagrantfile', 'singularity.def', 'rnd_toyMR_20200417.simg' ], python_path='alpacka', tags=[globals()['script'][:-3]], with_neptune=True)
from mrunner.helpers.specification_helper import create_experiments_helper import os tags = os.environ["PROJECT_TAG"].split( ' ') if "PROJECT_TAG" in os.environ.keys() else [] experiments_list = create_experiments_helper( experiment_name='Test', base_config={ # Parameters of dataset: }, params_grid={}, #project=os.environ["NEPTUNE_PROJECT_NAME"], script='./seed_rl/docker/run_remote.sh starcraft vtrace 3', exclude=[ '.pytest_cache', '.git', 'docs', 'data', 'data_out', 'assets', 'out', '.vagrant' ], python_path=':ncc', with_mpi=False, tags=tags, callbacks=[], with_neptune=True)
from mrunner.helpers.specification_helper import create_experiments_helper import os tags = os.environ["PROJECT_TAG"].split( ' ') if "PROJECT_TAG" in os.environ.keys() else [] experiments_list = create_experiments_helper( experiment_name='her-mcts', base_config={}, #params_grid={'TestDeterministicMCTSAgent.n_passes': [5, 10, 20, 50]}, params_grid={}, script= 'python3 -m alpacka.runner --mrunner --output_dir=./out --config_file=mcts/mcts.gin', exclude=['.git', 'resources'], python_path='', tags=tags, with_neptune=True)
model_params = { "learning_rate": 1e-3, "prioritized_replay": True, "verbose": 1, } learn_params = { "total_timesteps": int(2e4), "log_interval": 1, } base_config = { **model_params, **learn_params, } params_grid = { "learning_rate": [3e-4, 4e-3], } experiments_list = create_experiments_helper( experiment_name='lunar lander mrunner test', base_config=base_config, params_grid=params_grid, script=f'python /gcp_tutorial/train_with_mrunner.py', exclude=[], python_path='', tags=['some', 'tags'], with_neptune=True, env={"GOOGLE_APPLICATION_CREDENTIALS": "google_app_cred.json"})
'atari_lib.create_atari_environment.game_name': 'Breakout', 'BASE_PATH': '.', 'GAME': 'Breakout', 'RainbowRolloutsAgent.epsilon_decay_period': 25000, 'RainbowRolloutsAgent.epsilon_rollout_decay_period': 5000000 } params_grid = { 'default_rollout_sampler.exponential_coefficient': [ 0.1, ], 'RolloutsRunner.rollout_len': [ 20, ], 'RainbowRolloutsAgent.epsilon_train': [ 0.05, ], 'RainbowRolloutsAgent.epsilon_rollout_train': [ 0.2, ] } experiments_list = create_experiments_helper( experiment_name='Rainbow-short-rollouts', project_name=os.environ["PROJECT_QUALIFIED_NAME"], script='python dopamine_short_rollouts_mrunner.py', python_path='.', paths_to_dump='', tags=[], base_config=base_config, params_grid=params_grid)
from mrunner.helpers.specification_helper import create_experiments_helper experiments_list = create_experiments_helper( experiment_name='RND toyMR', base_config={"idx": 0}, params_grid={"idx": [0]}, script='python3 -m test_mpi.py --mrunner --output_dir=./out ' '--config_file=configs/test_mpi.gin', exclude=[ '.pytest_cache', '.vagrant', '__pycache__', 'checkpoints', 'out', 'Vagrantfile', 'singularity.def', 'rnd_toyMR_20200417.simg' ], python_path='alpacka', tags=[globals()['script'][:-3]], with_neptune=True)
from mrunner.helpers.specification_helper import create_experiments_helper import os tags = os.environ["PROJECT_TAG"].split(' ') if "PROJECT_TAG" in os.environ.keys() else [] experiments_list = create_experiments_helper( experiment_name='Test', base_config={ 'task_name': None, 'learning_rate': 0.001, }, #params_grid={}, params_grid={'task_name': ['MMM2', '3s5z_vs_3s6z', '10m_vs_11m', 'corridor', '2c_vs_64zg'] * 4}, #project=os.environ["NEPTUNE_PROJECT_NAME"], script='./seed_rl/docker/run_remote.sh starcraft vtrace_better 30', exclude=['.pytest_cache', '.git', 'docs', 'data', 'data_out', 'assets', 'out', '.vagrant', 'seed_rl/.git'], python_path=':ncc', with_mpi=False, tags=tags, callbacks=[], with_neptune=True, project_name='pmtest/marl-vtrace' )