# Deep Learning and Reinforcement Learning Week 9

**Course Name: Deep Learning and Reinforcement Learning**

**Course Link: Deep Learning and Reinforcement Learning**

#### These are answers of Deep Learning and Reinforcement Learning Week 9 Quiz

### Practice: Reinforcement Learning

**Q1. Relative to problems suitable for Deep Learning, Reinforcement Learning allows for analysis of problems in which:**

agents control the actions taken but do not observe outcomes.

agents observe outcomes but cannot control the actions taken over time.

agents use dropout to supplement the results of separate analyses.

agents control actions taken and learn to optimize outcomes over time.

**Answer: agents control actions taken and learn to optimize outcomes over time.**

**Q2. Which of the following examples would NOT be suitable for Reinforcement Learning?**

Training a robot to move through a maze

Developing a strategy to play a video game

Estimating the directional impact of wind on drone movement

Identifying approaches to maximize profit through algorithmic trading

**Answer: Estimating the directional impact of wind on drone movement**

**Q3. Which of the following statements about the environment in a Reinforcement Learning problem is TRUE?**

At each stage, rewards available in the environment are clearly defined.

The environment is defined by a set of rules and remains fixed over time.

The timing of expected rewards can impact the policy rule selected by the agent.

A unique policy solution exists whenever an agent can obtain perfect information about rewards and actions.

**Answer: The timing of expected rewards can impact the policy rule selected by the agent.**

**These are answers of Deep Learning and Reinforcement Learning Week 9 Quiz**

### Final Quiz

**Q1. (True/False) Simulation is a common approach for Reinforcement Learning applications that are complex or computing intensive.**

True

False

**Answer: True**

**Q2. (True/False) Discounting rewards refers to an agent reducing the value of the reward based on its uncertainty.**

True

False

**Answer: False**

**Q3. (True/False) Successful Reinforcement Learning approaches are often limited by extreme sensitivity to hyperparameters.**

True

False

**Answer: True**

**These are answers of Deep Learning and Reinforcement Learning Week 9 Quiz**

**Q4. (True/False) Reinforcement Learning approaches are often limited by excessive computation resources and data requirements.**

True

False

**Answer: True**

**Q5. Which type of Deep Learning approach is most commonly used for image recognition?**

Autoencoders

Multi-Layer Perceptron

Recurrent Neural Network

Convolutional Neural Network

**Answer: Convolutional Neural Network**

**Q6. Which type of Deep Learning approach is most commonly used for forecasting problems?**

Autoencoders

Multi-Layer Perceptron

Recurrent Neural Network

Convolutional Neural Network

**Answer: Recurrent Neural Network**

**These are answers of Deep Learning and Reinforcement Learning Week 9 Quiz**

**Q7. Which type of Deep Learning approach is most commonly used for generating artificial images?**

Autoencoders

Multi-Layer Perceptron

Recurrent Neural Network

Convolutional Neural Network

**Answer: Autoencoders**

**These are answers of Deep Learning and Reinforcement Learning Week 9 Quiz**

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