From a46a7583b1044ba5d78e1be79d260bf6c5e84ee3 Mon Sep 17 00:00:00 2001 From: Tosin Oseni Date: Wed, 21 Jun 2023 12:36:53 +0100 Subject: [PATCH] fixed missed white trail --- docs/tutorials/dataset_creation/point_maze_dataset.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/tutorials/dataset_creation/point_maze_dataset.py b/docs/tutorials/dataset_creation/point_maze_dataset.py index a25df9de..d5780955 100644 --- a/docs/tutorials/dataset_creation/point_maze_dataset.py +++ b/docs/tutorials/dataset_creation/point_maze_dataset.py @@ -169,7 +169,7 @@ def _check_valid_cell(self, cell): # PID combines three components Proportial Term(P), Integral Term(I) and Derivative Term (D) # 1. Proportial Term(P) # ~~~~~~~~~~~~~~~~~~~ -# The proportional term in a PID controller adjusts the control action based on the current error, which +# The proportional term in a PID controller adjusts the control action based on the current error, which # is the difference between the desired value (setpoint) and the current value of the process variable. # The control action is directly proportional to the error. A higher error results in a stronger control action. # However, the proportional term alone can lead to overshooting or instability. Note ``\tau`` is our control value. @@ -182,7 +182,7 @@ def _check_valid_cell(self, cell): # ~~~~~~~~~~~~~~~~~~~ # The derivative term in a PD controller considers the rate of change of the error over time. # It helps to predict the future behavior of the error. By dampening the control action based -# on the rate of change of the error, the derivative term contributes to system stability and reduces overshooting. +# on the rate of change of the error, the derivative term contributes to system stability and reduces overshooting. # It also helps the system respond quickly to changes in the error. # references. # @@ -212,7 +212,7 @@ def _check_valid_cell(self, cell): # \tau = k_{p}(Error) + k_{d}(d(Error) / dt) + k_{I}\(\int\) Error dt # # In the PID controller formula, Kp, Ki, and Kd are the respective gains for the proportional, integral, and derivative terms. -# These gains determine the influence of each term on the control action. +# These gains determine the influence of each term on the control action. # The optimal values for these gains are typically determined through tuning, which involves adjusting # the gains to achieve the desired control performance. # Now back to our controller as stated previously, for the D4RL task we use a PD contoller and we