Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Web Development
Software Development
Graphic Design
Functional Programming Principles in Scala
Mountains 101
Industrial Pharmacy-I
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Q-learning, earn certificates with paid and free online courses from Alberta Machine Intelligence Institute, Santa Fe Institute and other top universities around the world. Read reviews to decide if a class is right for you.
Explore sample-based learning methods in reinforcement learning, including Monte Carlo, temporal difference, and Dyna. Learn to estimate value functions, implement algorithms, and improve sample efficiency.
Master AI-based trading model development from ideation to optimization, covering preprocessing, backtesting, reinforcement learning, and momentum strategies for data-driven market analysis and trading decisions.
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!
The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks
Solve Real World Business Problems with AI Solutions implemented in Python. Code templates included.
Develop Artificial Intelligence Applications using Reinforcement Learning in Python.
Learn the theoretical foundations of Deep Learning through practical Python code.
Explore Q-learning, deep Q networks, and reinforcement learning environments through hands-on tutorials and practical implementations.
Explore adaptive interventions for chronic diseases and addiction, focusing on personalized treatment approaches that dynamically adjust based on individual responses, maximizing efficacy and minimizing over-treatment.
Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.
Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
Reinforcement learning is becoming more and more important in an advanced world. Understanding algorithms is a key role in the reinforcement learning process.
Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.
Dive into the technical aspects of training neural networks in TD-MPC, covering TD learning, Q network optimization, and data collection strategies for robotic control systems.
Delve into the technical foundations of Q* (Q-star), exploring its roots in physics entropy, reinforcement learning principles, and practical applications in machine learning systems.
Get personalized course recommendations, track subjects and courses with reminders, and more.