Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Game - Naive Random Solution

Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Game - Naive Random Solution

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces a pick and drop game where the player acts as a courier carrier. The player must pick up a black item and drop it at a green point on a 10x10 grid. The game mechanics are likened to a taxi driver picking up and dropping off passengers. The tutorial explains the grid layout and the six possible actions: moving up, down, left, right, picking up, and dropping off items. The video concludes with a challenge for viewers to determine the agent's actions to complete the task.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the process the agent should follow to pick up the item at the black point.

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some potential restrictions or rules that might apply to the game?

Evaluate responses using AI:

OFF