Stanford CS234 Reinforcement Learning | Winter 2019 | Lecture 6 CNNs and Deep Q Learning
Share your inquiries now with community members Click Here
Sign up Now
Lessons List | 15 Lesson
Comments
Related Courses in Computer Science
Course Description
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.What is reinforcement learning examples?
Summary: Reinforcement Learning is a Machine Learning method. ... Agent, State, Reward, Environment, Value function Model of the environment, Model based methods, are some important terms using in RL learning method. The example of reinforcement learning is your cat is an agent that is exposed to the environment.What is reinforcement learning theory?
The reinforcement learning theory is based on Markov decision processes, in which a combination of an action and a particular state of the environment entirely determines the probability of getting a particular amount of reward as well as how the state will change.What is reinforcement learning in simple words?
Reinforcement learning is an area of Machine Learning. It is about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behavior or path it should take in a specific situation.How does reinforced learning work?
Reinforcement learning is the process of running the agent through sequences of state-action pairs, observing the rewards that result, and adapting the predictions of the Q function to those rewards until it accurately predicts the best path for the agent to take. That prediction is known as a policy.
Trends
MS Excel
Excel Course Basic to Advanced
Learning English Speaking
Digital Marketing tools for beginners
Photoshop text masking effect methods
English Language
Magento Formation Français
Graphs In python for beginners
SEO Google Digital Marketing
Communication Skills importance
Python programming language
Excel for data analytics and data visualization
English Typing Skills
Web Design for Beginners
Digital Marketing
Cyber Security for Beginners | Edureka
Mobile Apps from Scratch
Java Programming Language
Communication Skills
Sociology
Recent
TensorFlow fundamentals
Graphs In python for beginners
Figma UI design for beginners
Python web scraping fundamentals
Human Capital management strategies
MVC architecture fundamentals
AWS terraform techniques
Communication Skills importance
Microprocessor programming for beginners
Excel for data analytics and data visualization
Digital Marketing tools for beginners
Software Engineer Job fundamentals
Digital Marketing Job roles
Big Data Analytics skills for beginners
Business analysis techniques
Linux Operating system administration for beginners
Java Virtual machine security essentials
Google Cloud platform security essentials
Digital Marketing skills for beginners
Linux System Administration for beginners