Reinforcement Learning and Deep RL Python Theory and Projects - Setting Up Game in Python - 2

The video tutorial explains how to implement various actions in a game-like environment, focusing on moving in different directions (down, up, left, right) while considering boundary conditions. It also introduces a quiz for viewers to implement additional actions, with a promise of further guidance in the next video.

What actions are defined for moving in the game plan?

Explain the restriction that is applied when the agent tries to move down from the boundary.

What is the reward system when the agent goes off the field?

How should the agent's position be updated when it moves down?

What happens if the agent's Y position is already at zero and it attempts to move up?

Describe the process of updating the agent's position when it moves left.

What are the expected actions for action #4 and action #5 in the make action function?