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(
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