9caa24c58689c1d6f3d982f623ceab8f78e7362d,examples/mujoco_all_sql.py,,run_experiment,#Any#,81

Before Change


        sampler=sampler)

    M = variant["layer_size"]
    qf = NNQFunction(
        observation_shape=env.active_observation_shape,
        action_shape=env.action_space.shape,
        hidden_layer_sizes=(M, M))

    policy = StochasticNNPolicy(
        observation_shape=env.active_observation_shape,
        action_shape=env.action_space.shape,

After Change


        sampler=sampler)

    layer_size = variant["layer_size"]
    Q = get_Q_function_from_variant(variant, env)

    policy = StochasticNNPolicy(
        observation_shape=env.active_observation_shape,
        action_shape=env.action_space.shape,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 8

Instances


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


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


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