For on policy SARSA update rule for Q(s, a), s, a, s′, a′ are needed. When is a′ computed/sampled?
before updating Q(s, a)
after updating Q(s, a)
before and after updating Q(s, a), but only later value is used.
before and after updating Q(s, a), but only the earlier value is used.
None of these.
The eligibility trace is used to store past observations and actions.
The eligibility trace determines the learning rate for updating the value estimates.
The eligibility trace helps in determining which state-action pairs are eligible for updates.
The eligibility trace maintains a history of rewards received in each state.
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The IIT Madras BS Reinforcement Learning (Reinforcement Learning) Quiz 2 paper sat on 16 Mar 2025, in the January 2025 term: 22 questions for 50 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Reinforcement Learning Quiz 2 16 Mar 2025 at a glance |
|---|---|
| Term | January 2025 term |
| Subject | Reinforcement Learning |
| Course code | BSDA5007 |
| Questions | 22 |
| Marks | 50 |
| Duration | 120 min |
| MCQ | 10 |
| Numerical | 10 |
| MSQ | 2 |
| Official paper | IIT M DEGREE AN EXAM QDB2 16 Mar 2025 |
| Negative marking | No negative marking. |
| Updated |
