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?

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

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

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

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

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

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

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