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Minimal example of Spinup Experiment (DDPG)
from spinup.utils.run_utils import ExperimentGrid
from spinup import ddpg
import gym
import tensorflow as tf
def run_experiment(args):
def env_fn():
import envs # registers custom envs to gym env registry
return gym.make(args.env_name)
eg = ExperimentGrid(name=args.exp_name)
eg.add('env_fn', env_fn)
eg.add('seed', [10*i for i in range(args.num_runs)])
eg.add('epochs', 500)
eg.add('steps_per_epoch', 10000)
eg.add('save_freq', 20)
eg.add('max_ep_len', 200)
eg.add('ac_kwargs:activation', tf.tanh, '')
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--cpu", type=int, default=1)
parser.add_argument('--num_runs', type=int, default=5)
parser.add_argument('--env_name', type=str, default="CustomEnv-v0")
parser.add_argument('--exp_name', type=str, default='ddpg-custom')
args = parser.parse_args()
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