Reinforcement Learning Course | ASU Spring 2022

Comprehensive Reinforcement Learning Course at Arizona State University (ASU) covering algorithms, deep RL, and real-world applications.

Introduction

This Reinforcement Learning course at Arizona State University (ASU) provides a comprehensive overview of the fundamental concepts and techniques in the field of reinforcement learning. The course covers various algorithms, including value-based and policy-based methods, as well as advanced topics such as deep reinforcement learning and its applications.

Highlights

• Comprehensive coverage of reinforcement learning algorithms and techniques
• Hands-on implementation of reinforcement learning models using Python and popular libraries like OpenAI Gym
• Exploration of real-world applications of reinforcement learning in areas such as robotics, game AI, and decision-making
• Opportunity to learn from experienced instructors and researchers in the field of reinforcement learning

Recommendation

This course is highly recommended for students, researchers, and professionals interested in exploring the field of reinforcement learning. It provides a solid foundation in the core concepts and equips learners with the necessary skills to apply reinforcement learning techniques to solve complex problems. Whether you're a beginner or have some prior experience in machine learning, this course offers valuable insights and practical knowledge that can be applied in a wide range of domains.

YouTube Videos