52dde8cbc28fabd834e31726f35b563ee7132fd7,sac/envs/random_goal_swimmer_env.py,RandomGoalSwimmerEnv,log_diagnostics,#RandomGoalSwimmerEnv#Any#,85

Before Change


            logger.record_tabular("StdForwardProgress", np.nan)

        logger.record_tabular("FinalDistanceFromGoal", self.goal_distance)
        logger.record_tabular("OriginDistanceFromGoal",
                              np.sqrt(np.sum(self.goal_position**2)))

After Change



        logger.record_tabular("FinalDistanceFromGoal", self.goal_distance)
        origin_distance_from_goal = np.sqrt(np.sum(self.goal_position**2))
        logger.record_tabular("OriginDistanceFromGoal",
                              origin_distance_from_goal)
        progress_towards_goal = origin_distance_from_goal - self.goal_distance
        logger.record_tabular("ProgressTowardsGoal", progress_towards_goal)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 2

Instances


Project Name: rail-berkeley/softlearning
Commit Name: 52dde8cbc28fabd834e31726f35b563ee7132fd7
Time: 2018-05-22
Author: kristian.hartikainen@gmail.com
File Name: sac/envs/random_goal_swimmer_env.py
Class Name: RandomGoalSwimmerEnv
Method Name: log_diagnostics


Project Name: rlworkgroup/garage
Commit Name: 8b0aeccaa6303a0d3d6cb67f49f1c3903b471011
Time: 2018-08-11
Author: ryanjulian@users.noreply.github.com
File Name: garage/tf/algos/npo.py
Class Name: NPO
Method Name: optimize_policy


Project Name: rlworkgroup/garage
Commit Name: c4b49939df36487c49282ddb6bd9af647ea05b87
Time: 2019-03-12
Author: CatherineSue@users.noreply.github.com
File Name: garage/tf/algos/npo.py
Class Name: NPO
Method Name: _fit_baseline