1.2 - Agent interacts with Environment
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Practice Questions
Test your understanding with targeted questions
Define what an agent is in Reinforcement Learning.
💡 Hint: Think about who is making decisions in this context.
What does the environment refer to in this section?
💡 Hint: Consider the surroundings of the agent.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the term 'agent' refer to in Reinforcement Learning?
💡 Hint: Think about who is acting in the learning process.
The current situation of the agent is referred to as the...
💡 Hint: It's what the agent perceives before taking an action.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a simple RL algorithm to demonstrate how an agent might learn to prefer one route over others in a traffic simulation.
💡 Hint: Think about how to represent states and calculate rewards!
Analyze how sparse rewards can affect an agent's learning path in a maze-solving scenario.
💡 Hint: Consider the implications of not having rewards at every step.
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