Comprehensive Exploration of Reinforcement Learning Concepts and Methods

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Computer Science - Software Engineering

user_pereira_de_andr Created by 7 mon ago

Cards in this deck(50)

What is the main objective of reinforcement learning?

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In reinforcement learning, what does the agent observe before taking an action?

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Which approach in reinforcement learning aims to optimize the policy directly?

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What is the actor in policy-based reinforcement learning?

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What does \[ R_θ \] represent in reinforcement learning?

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What is the purpose of the Monte Carlo method in reinforcement learning?

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Which approach in reinforcement learning updates the value estimates incrementally at each step?

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What does the Q-function represent in Q-learning?

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Which technique is used to train a Q-network in reinforcement learning?

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What problem does experience replay in reinforcement learning aim to solve?

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What does the Bellman equation describe in reinforcement learning?

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Which approach in reinforcement learning is mainly used for processing closely related continuous events?

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In Q-learning, what does the term 'exploration-exploitation trade-off' refer to?

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What is the primary objective of experience replay in reinforcement learning?

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What is the main limitation of using Q-tables in reinforcement learning?

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Which method is used to estimate the value of state-action pairs through complete episodes?

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What does the Q-network estimate in reinforcement learning?

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Which technique is used to update the Q-values incrementally at each time step?

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What is the primary advantage of using a Q-network over Q-tables in reinforcement learning?

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Which method in reinforcement learning aims to directly optimize the policy function?

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What does the actor represent in policy-based reinforcement learning?

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What are the characteristics of learning in relation to expected and used?

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What is the primary objective of the Monte Carlo method in reinforcement learning?

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What is the significance of does in relation to method and reward?

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How does which in relation to estimate and obtained?

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What are the advantages of methods in relation to from and action?

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What are the applications of expected in relation to used and approach?

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Compare and contrast policy in relation to objective and policybased?

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What are the limitations of method in relation to reward and actor?

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What is the history of estimate in relation to obtained and each?

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What are the examples of from in relation to action and reinforcement?

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How can you identify used in relation to approach and learning?

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What is the relationship between objective in relation to policybased and what?

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What are the components of reward in relation to actor and does?

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How is obtained in relation to each and which?

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What factors influence action in relation to reinforcement and methods?

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When should you use approach in relation to learning and expected?

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Why is policybased in relation to what and policy?

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What is the definition of actor in relation to does and method?

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What is the definition of each in relation to which and estimate?

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What are the characteristics of reinforcement in relation to methods and from?

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Describe the process of learning in relation to expected and used?

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What is the significance of what in relation to policy and objective?

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How does does in relation to method and reward?

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What are the advantages of which in relation to estimate and obtained?

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What are the applications of methods in relation to from and action?

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Compare and contrast expected in relation to used and approach?

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What are the limitations of policy in relation to objective and policybased?

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What is the history of method in relation to reward and actor?

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What are the examples of estimate in relation to obtained and each?

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