def run_baselines(env_id, seed, log_dir):
'''
Create baselines model and training.
Replace the ppo and its training with the algorithm you want to run.
:param env: Environment of the task.
:param seed: Random seed for the trial.
:param log_dir: Log dir path.
:return
'''
launch_params = {
'env': env_id,
'logdir': log_dir,
'n_epochs': params['n_epochs'],
'num_cpu':
1, # For FetchReachEnv, the performance is not relevant to num_cpu
'seed': seed,
'policy_save_interval': 0,
'replay_strategy': 'future',
'clip_return': 1,
}
launch(**launch_params)
return osp.join(log_dir, 'progress.csv')
def run_baselines(env_id, seed, log_dir):
"""
Create baselines model and training.
Replace the ppo and its training with the algorithm you want to run.
:param env: Environment of the task.
:param seed: Random seed for the trail.
:param log_dir: Log dir path.
:return
"""
launch_params = {
"env": env_id,
"logdir": log_dir,
"n_epochs": params["n_epochs"],
"num_cpu":
1, # For FetchReachEnv, the performance is not relevant to num_cpu
"seed": seed,
"policy_save_interval": 0,
"replay_strategy": "future",
"clip_return": 1,
}
launch(**launch_params)
return osp.join(log_dir, "progress.csv")
