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Reinforcement Learning Interview Questions and Answers
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Questions
Reinforcement Learning
0
votes
Q: Why do regular Q-Learning and DQN overestimate the Q values?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
q-learning
and
dqnoverestimate
0
votes
Q: What is the effect of Parallel Environments in Reinforcement Learning?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
environments-reinforcementlearning
0
votes
Q: What is Sample Efficiency, and how can Importance Sampling be used to achieve it?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
efficiencygradient
0
votes
Q: How can policy gradients be applied in the case of multiple continuous actions?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
multiple-continuous-actions
gradients-policy
0
votes
Q: Are there any problems when using a Softmax Function to select actions in a Deep Q-Network?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
softmax
function
deepq-network
0
votes
Q: Why would you use a Policy-based method instead o a Value-based method?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
value-based
method
0
votes
Q: Why would you use a Deep Q-Network?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
deepq-network
0
votes
Q: What's the difference between a Deterministic vs Stochastic policy?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
deterministic-policy
stochastic-policy
0
votes
Q: What's the difference between Q-Learning and Policy Gradients methods?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
q-learning
policygradientsmethods
0
votes
Q: What types of Reinforcement Learning Environments do you know?
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
reinforcement
learning
environments
0
votes
Q: Name some advantages of using Temporal difference vs Monte Carlo methods for Reinforcement Learning
answered
May 6, 2023
in
Reinforcement Learning
by
Robin
temporal
difference
montecarlomethods
0
votes
Q: How to choose the values of Gamma and Lambda in generalised temporal differencing algorithms?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
generalised
temporal
differencing
algorithms
+1
vote
Q: How does the Monte Carlo prediction method compute the Value Function?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
monte
carlo
prediction
method
0
votes
Q: Compare Reinforced Learning and Supervised Learning
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcedlearning
supervisedlearning
0
votes
Q: Can you think of an example of an Epsilon-Greedy Policy in real life?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
epsilon-greedypolicy
0
votes
Q: Can the Monte Carlo Method be applicable to all tasks?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
montecarlomethod
0
votes
Q: Are there any problems when using the Epsilon-Greedy method to find the Optimal Policy?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
optimalpolicy
epsilon-greedy-method
0
votes
Q: What is the role of the Discount Factor in Reinforcement Learning?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcement
learning
0
votes
Q: What is the difference between a Reward and a Value for a given State?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
rewardstate
0
votes
Q: What is the difference between Off-Policy and On-Policy Learning?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
on-policylearning
off-policy
0
votes
Q: What is Markov Decision Process?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
markovdecisionprocess
+1
vote
Q: What are the steps involved in a typical Reinforcement Learning algorithm?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcement
learning
algorithm
+1
vote
Q: Provide an intuitive explanation of what is a Policy in Reinforcement learning
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcementlearningintuitive
+1
vote
Q: Name some approaches or algorithms you know in to solve a problem in Reinforcement Learning
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcementlearningapproaches
algorithmsreinforcementlearning
+1
vote
Q: How to define States in Reinforcement Learning?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcementlearning
+1
vote
Q: What is Reinforcement Learning? How does it compare with other ML techniques?
answered
May 5, 2023
in
Reinforcement Learning
by
sharadyadav1986
reinforcement
learning
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