What does the Bellman equation describe in reinforcement learning?
a) The relation between current and future rewards
b) The total number of states in the environment
c) The accuracy of a supervised learning model
d) The number of possible actions
Answer:
a) The relation between current and future rewards
Explanation:
The Bellman equation describes the relationship between the value of a state and the expected rewards, factoring in future rewards based on the chosen policy.
Reference:
Reinforcement Learning (RL) Quiz – MCQ Questions and Answers