Q-Learning Quiz - Darchums Tech

🧠 Quiz: Q-Learning & Reinforcement Learning

1. What is the purpose of the Q-table in Q-learning?

To store the environment To track visited states To store the expected reward for state-action pairs To visualize the environment map

2. What happens when epsilon is high during training?

The agent exploits more The agent explores more The learning rate is increased The discount factor is zero

3. What does the gamma parameter control in Q-learning?

Exploration rate Learning rate Discounting of future rewards Episode length

4. What is the reward when the agent reaches the goal in FrozenLake?

0 1 5 -1