Reinforcement Learning SPPU Insem Question Paper Mar 2024

Questions

1. Q1

   1. a)

      What is reinforcement learning? Compare RL with other ML techniques.

      [6]
   2. b)

      How has reinforcement learning evolved over time, from its early theoretical roots to practical applications in various domains?

      [5]
   3. c)

      Explain limitation of reinforcement learning.

      Also asked:Mar 2025

      [4]
   OR

2. Q2

   1. a)

      What is reinforcement learning? Explain one practical example.

      [6]
   2. b)

      Explain how reinforcement learning influenced robotics and autonomous systems development?

      [5]
   3. c)

      Explain various practical applications of reinforcement learning.

      [4]

3. Q3

   1. a)

      What are the key components of a Markov decision process (MDP), and how do they formalize a reinforcement learning problem?

      [6]
   2. b)

      Discuss the difference between policy evaluation and policy improvement in the context of Markov decision process (MDP).

      [5]
   3. c)

      Explain the concept of infinite horizons in reinforcement learning.

      [4]
   OR

4. Q4

   1. a)

      Describe the Bellman equation for both the state-value function and the action-value function in MDPs, and discuss their significance in reinforcement learning algorithms.

      [6]
   2. b)

      Explain sequence of rewards assumption in reinforcement learning.

      [5]
   3. c)

      This part has equations that don’t show as text. Open the PDF to read it.

      [4]