Index Fixing Reference System Working DQN Fixing Reference System Before we could do all this we had to fix the way of using the coordinates in SMARTS, as we were interested in a reference...

Index Finding the optimal parking spot Starting DQN Finding the optimal parking spot To make it more robust, the points are now divided into two sets with a minimum distance (the distance ...

Index Finding the optimal parking spot Modifying states Modifying rewards Coordinate and orientation problem Finding the optimal parking spot For now a simple solution has been created...

Index Decreased speed discretisation Fixed RLidar Example and data analysis Deeper explanation Decreased speed discretisation The agent accelerates by increasing its speed by 0.1. This...

Index Fixing RLidar Created test for inference phase Random starting positions Example and data analysis Fixing RLidar For the functioning of RLidar SMARTS generates a series of rays t...

Index Integrating RLidar enhancement into SMARTS Adding linear velocity as a state Exponential drop in training speed Random starting positions Example and data analysis Integrating R...

Index Fixed episodes crash Exponential drop in training speed Velocity is needed in the q-table states Fixed episodes crash When a scenario is modified SMARTS compiles it and creates the...

Index Data based on orientation Testing q-learning Crash 150 eps Data based on orientation The laser always takes its measurements from an absolute orientation, so we cannot rely on the ...

Index LearningAgent Class ParkingAgent Class LearningAgent Class The LearningAgent class implements a Q-learning agent optimized for parking tasks using LiDAR and fixed angular velocity. T...

Index Building scenario Getting started with Q-Learning Building scenario By modifying the scenario I have not been able to figure out how to add static agents. The only ways I have manage...