11 Questions
In reinforcement learning, what is the role of the reward function?
To define the agent's utility
What is the primary goal of an agent in reinforcement learning?
To maximize expected rewards
In the context of reinforcement learning, what is the main purpose of learning based on observed samples of outcomes?
To inform the agent's decision-making process
What is the key aspect of reinforcement learning illustrated in the example of 'Learning to Walk'?
Learning from feedback in the form of rewards
In the context of reinforcement learning, what does the 'crawler' symbolize?
A specific application or example
What is the significance of an agent's utility in reinforcement learning?
It is defined by the reward function
What is the primary focus when dealing with Reinforcement Learning within a Markov decision process (MDP)?
Finding a policy
What is the new twist in Reinforcement Learning when dealing with Markov decision processes?
Not knowing the model T(s,a,s’)
What is the first step in Model-Based Learning for Reinforcement Learning?
Learning empirical MDP model by counting outcomes s’ for each s, a
What is the goal of Passive Reinforcement Learning in the simplified task of policy evaluation?
Learning state values under a fixed policy
What is the purpose of Direct Evaluation in Reinforcement Learning?
To compute values for each state under a policy
This quiz covers the topic of reinforcement learning in the field of artificial intelligence. It includes concepts such as agent state, reward, actions, and learning to maximize expected rewards based on feedback. The content is based on Lecture 05 of the Artificial Intelligence course by Chen, Yan-Ann at YZU CSE.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
