7856d22b09561e33522bdc0bd00218ae75b84bd7,examples/multigoal_sac.py,,run,#Any#,15

Before Change


    }

    M = 128
    qf1 = NNQFunction(
        observation_shape=env.observation_space.shape,
        action_shape=env.action_space.shape,
        hidden_layer_sizes=[M, M],
        name="qf1")
    qf2 = NNQFunction(
        observation_shape=env.observation_space.shape,
        action_shape=env.action_space.shape,
        hidden_layer_sizes=[M, M],

After Change


        NNQFunction(
            observation_shape=env.observation_space.shape,
            action_shape=env.action_space.shape,
            hidden_layer_sizes=(M, M),
            name="qf{}".format(i))
        for i in range(2))
    vf = NNVFunction(
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: rail-berkeley/softlearning
Commit Name: 7856d22b09561e33522bdc0bd00218ae75b84bd7
Time: 2018-09-09
Author: kristian.hartikainen@gmail.com
File Name: examples/multigoal_sac.py
Class Name:
Method Name: run


Project Name: rail-berkeley/softlearning
Commit Name: 7856d22b09561e33522bdc0bd00218ae75b84bd7
Time: 2018-09-09
Author: kristian.hartikainen@gmail.com
File Name: examples/multigoal_ray.py
Class Name:
Method Name: run


Project Name: rail-berkeley/softlearning
Commit Name: 9caa24c58689c1d6f3d982f623ceab8f78e7362d
Time: 2018-10-20
Author: hartikainen@berkeley.edu
File Name: examples/multigoal_sql.py
Class Name:
Method Name: test