DRL

Which of the following statements is correct regarding DAgger with coaching

1

מיין לפי

Auto-encoders can be used in model-based learning to predict the next state given a state and an action

1

true

מיין לפי

One of the main advantages of evolutionary algorithms is the fact that they do not need to use backpropagation

1

true

מיין לפי

1. Which of the following statements is correct with regard to model-based RL:

1

מיין לפי

a. One of the main difficulties in learning across multiple datasets is the need to determine the similarity of the various datasets (and their states) to the one currently being analyzed

1

true

מיין לפי

b. Adaptation for changing dynamics is an important element in applying meta-learning to real-world problems

1

true

מיין לפי

Which of the following scenarios may encourage us to use a stochastic policy (multiple answers may apply):

1

מיין לפי

a. For a good unbiased estimator, we could use the average of the value-function for all the states in our state space

1

true

מיין לפי

Which of the following reasons might make us to prioritize using imitation learning techniques over other types of RL techniques (multiple answers may apply):

1

מיין לפי

If we have the optimal value function V* then we are always capable of calculating the optimal Q-function Q* -

1

true

מיין לפי

Discuss, Learn and be Happy דיון בשאלות

Which of the following statements is correct regarding DAgger with coaching

Auto-encoders can be used in model-based learning to predict the next state given a state and an action

One of the main advantages of evolutionary algorithms is the fact that they do not need to use backpropagation

1. Which of the following statements is correct with regard to model-based RL:

a. One of the main difficulties in learning across multiple datasets is the need to determine the similarity of the various datasets (and their states) to the one currently being analyzed

b. Adaptation for changing dynamics is an important element in applying meta-learning to real-world problems

Which of the following scenarios may encourage us to use a stochastic policy (multiple answers may apply):

a. For a good unbiased estimator, we could use the average of the value-function for all the states in our state space

Which of the following reasons might make us to prioritize using imitation learning techniques over other types of RL techniques (multiple answers may apply):

If we have the optimal value function V* then we are always capable of calculating the optimal Q-function Q* -