QLearning

Type of Q-Learning Model: Table-Based Left Side: ML-Agents Right Side: Q-Learning Black Arrow Agent: The agent is being moved by ML-Agents and Q-Learning. It will succeed if it reaches the white triangle goal and fails if it touches a wall. Upon success or failure, the black arrow agent and white triangle goal will respawn at a new point within the bounds. White Triangle Goal: The goal to reach. It will move to a random point in the box if the black arrow agent touches a wall, reaches the goal, ...