85aea8b77a57afbb8d81a1235382b73bff6552be,examples/mujoco_all_sac_lsp_hierarchy.py,,main,#,357

Before Change


        **ENV_PARAMS[args.env],
    )

    trained_policies_path = (
        LOCAL_POLICIES_PATH
        if args.mode == "local"
        else RLLAB_MOUNT_POLICIES_PATH
    )

    variant_spec["low_level_policy_path"] = tune.grid_search([
        os.path.join(trained_policies_path, p)
        for p in variant_spec["low_level_policy_path"]

After Change




def main():
    parser = get_parser()
    parser.add_argument(
        "--low_level_policy_path", "-p", type=str, default=None)
    args = parser.parse_args()

    universe, domain, task = parse_universe_domain_task(args)

    variant_spec = dict(
        COMMON_PARAMS,
        **ENV_PARAMS[args.env],
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: rail-berkeley/softlearning
Commit Name: 85aea8b77a57afbb8d81a1235382b73bff6552be
Time: 2018-07-27
Author: kristian.hartikainen@gmail.com
File Name: examples/mujoco_all_sac_lsp_hierarchy.py
Class Name:
Method Name: main


Project Name: rail-berkeley/softlearning
Commit Name: ce04229b64ecaa9f6947235c23eeaf8c804bcc33
Time: 2018-07-25
Author: kristian.hartikainen@gmail.com
File Name: examples/mujoco_all_sac.py
Class Name:
Method Name: main


Project Name: rail-berkeley/softlearning
Commit Name: ce04229b64ecaa9f6947235c23eeaf8c804bcc33
Time: 2018-07-25
Author: kristian.hartikainen@gmail.com
File Name: examples/mujoco_all_ray.py
Class Name:
Method Name: main