What is “model-free” reinforcement learning?
a) Learning without relying on a model of the environment
b) Learning by building a model of the environment
c) Learning with supervised data
d) Learning with predefined labels
Answer:
a) Learning without relying on a model of the environment
Explanation:
Model-free reinforcement learning refers to approaches where the agent learns without having an explicit model of the environment, focusing directly on actions and rewards.
Reference:
Reinforcement Learning (RL) Quiz – MCQ Questions and Answers