Consider the following statements about reinforcement learning. A. The…
2026
Consider the following statements about reinforcement learning.
A. The adaptive dynamic programming agent learns the transition model between states and utilizes it to solve the corresponding Markov decision process using dynamic programming.
B. Temporal difference needs a transition model to perform its updates.
C. The prioritized sweeping heuristic focuses on adjusting states with successors that have undergone significant changes in utility estimates.
D. The approach of modified policy iteration involves adopting a simplified value utility estimates following each change to the learned model.
Choose the correct answer from the options given below:
- A.
A, B & C Only
- B.
A, B & D Only
- C.
A, C & D Only
- D.
B, C & D Only
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Correct answer: C
Statement A is correct as adaptive dynamic programming learns the transition model and uses it with dynamic programming. Statement B is incorrect because temporal difference learning does not require a transition model; it learns directly from experience. Statement C is correct, as prioritized sweeping focuses on states whose successors have significant utility changes. Statement D is also correct, describing modified policy iteration's use of simplified value estimates after model updates. Therefore, A, C, and D are correct, making option 2 the right choice.