def main(): args = energyplus_arg_parser().parse_args() train(args.env, num_timesteps=args.num_timesteps, seed=args.seed)
from baselines_energyplus.trpo_mpi.run_energyplus import train from baselines_energyplus.common.energyplus_util import energyplus_arg_parser import sys '''PLEASE KEEP THIS LINE''' from algorithms import * # using customized learning algorithms and policy functions if __name__ == '__main__': args = energyplus_arg_parser().parse_args() train(env_id=args.env, num_timesteps=args.num_timesteps, seed=args.seed, learn=getattr(sys.modules['algorithms'], args.learn), policy_fn_class=eval(args.policy))