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What are the main components of a Reinforcement Learning (RL) problem?
Agent
Environment
Reward
State
All of the above
In the context of RL, what does the term 'policy' refer to?
A strategy used by the agent to decide actions
The environment's response to the agent's actions
The cumulative reward received by the agent
The state transition probabilities
Which of the following best describes the exploration-exploitation trade-off in RL?
Choosing between known rewards and discovering new rewards
Balancing the training time and model accuracy
Deciding between deterministic and stochastic policies
Managing the complexity of the state space
What is the Bellman equation used for in Reinforcement Learning?
To compute the optimal policy
To calculate the value function
To update the Q-values
To define the reward structure
Which of the following algorithms is NOT typically associated with Reinforcement Learning?
Q-Learning
SARSA
Gradient Descent
Deep Q-Networks (DQN)
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10 Modules