def test_ddpg(self): CONFIG_PATH = 'tests/config_test.yml' config = read_config(CONFIG_PATH) config['env'] = 'BipedalWalker-v3' config['model'] = 'ddpg' config['state_dim'] = 24 config['action_dim'] = 4 engine = load_engine(config) engine.train()
def test_ddpg(self): CONFIG_PATH = 'tests/config_test.yml' config = read_config(CONFIG_PATH) config['env'] = 'Pendulum-v0' config['model'] = 'ddpg' config['state_dim'] = 3 config['action_dim'] = 1 engine = load_engine(config) engine.train()
def test_ddpg(self): CONFIG_PATH = 'tests/config_test.yml' config = read_config(CONFIG_PATH) config['env'] = 'LunarLanderContinuous-v2' config['model'] = 'ddpg' config['state_dim'] = 8 config['action_dim'] = 2 engine = load_engine(config) engine.train()
import argparse from models.engine import load_engine from utils.misc import read_config parser = argparse.ArgumentParser(description='Run training') parser.add_argument("--config", type=str, help="Path to the config file.") if __name__ == "__main__": args = vars(parser.parse_args()) config = read_config(args['config']) engine = load_engine(config) engine.train()