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
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
